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Ревью вайб-кода с гнильцой, который притворяется оптимизированным С++ кодом

Обзор вайб-кода
Обзор вайб-кода

Ценность квалифицированного программиста смещается в сторону умения проводить обзоры кода. Генерировать код становится проще, но всё так же важно проверять его с точки зрения качества декомпозиции, корректности реализации, эффективности, безопасности. Посмотрим на примере маленького проекта markus, созданного с помощью Claude Opus, почему важно понимать сгенерированный код и уметь видеть, что скрывает красивый текст программы.

Проект markus

Я искал какой-то проект, сгенерированный с помощью ИИ, и мне попался markus.

Это single-header библиотека для парсинга текста и конвертации его в HTML. Создана с помощью Claude Opus 4.5.

Мне понравилось, что библиотека крошечная. Можно её просмотреть и даже погрузиться в изучение отдельных фрагментов кода. Если перед вами сразу много вайб-кода, то как-то даже не хочется начинать его смотреть.

Библиотека состоит из одного файла markus.h, содержащего 6484 строки на C++20. По существу кода ещё меньше. Некоторые алгоритмы в целях оптимизации используют табличные методы. Четыре таблицы представлены в коде бессмысленно вытянуто. Пример:

static constexpr uint8_t kWhitespaceTable[256] = {
      0,
      0,
      0,
      0,
      .... // и так 256 строк

Если таблицы не считать, то, собственно, кода ещё на 1000 строк меньше. Анализатор PVS-Studio ничего особенного в проекте не нашёл, но проверка стала поводом посмотреть некоторые фрагменты поподробнее. И вот уже специалист, то есть я, могу выделить моменты, которые стоит обсудить.

Проблематика вайб-кодинга

Генерация кода с помощью ИИ может очаровать, особенно неискушённого программиста, который не работал с большими старыми проектами.

Кто сталкивался, тот понимает, что главная задача — не написать код, а сделать так, чтобы его можно было сопровождать и развивать. Об этом хорошо написал Роберт Мартин:

Без присмотра AI будет нагромождать код поверх кода. У него нет чувства большой картины. Архитектура, вероятно, за пределами его возможностей.

Так что изучение принципов декомпозиции, умение правильной постановки задач и т. д. становятся только более актуальной компетенцией программиста.

Но я хочу посвятить статью другой особенности вайб-кодинга, про которую мало говорят: это очарование процессом генерации кода и, как следствие, излишнее доверие к нему. Редкое исключение — заметка “ИИ пишет код быстрее. Но не понимает, что пишет”.

Убедившись, что простые задачи решаются хорошо или даже лучше, чем это бы сделали вы сами, теряется критичность взгляда. Кажется, что и в больших задачах качество будет высоким, код оптимизированным и т. д.

За примером далеко ходить не надо. Я ради интереса просил ИИ написать код для быстрого подсчёта количества единичных бит в больших массивах. Я был очарован предложенными алгоритмами. Про многие интересные решения я даже не знал, хотя в своё время прочитал в книге разбор целого ряда алгоритмов на эту тему.

Смотришь на предложенный код подсчёта бит и думаешь: “А не пора ли податься в фермеры?” Сам бы я такой код не написал и не догадался бы его поискать, т. к. просто не знаю про такие алгоритмы.

Это восхищение проецируется на весь код, созданный ИИ. Когда я только заглянул в код markus, то подумал, что анализировать его смысла нет: всё красиво, оптимизированные алгоритмы и т. д:

  1. Тонкая настройка оптимизации компилятора с помощью подсказок наиболее вероятных веток исполнения [[unlikely]];

  2. Использование условной компиляции на основе if constexpr;

  3. Использование оптимизированных табличных алгоритмов;

  4. Генерация SIMD-Friendly Helper Functions;

  5. Использование контейнеров из пространства имён std::pmr для задания собственной стратегии выделения памяти.

Код солиден, что там смотреть? Оказывается, есть что. Ощущение, что код оптимизирован, — ложное. Вернее, местами он действительно оптимизирован, а местами всё плохо.

К чести автора проекта хочу сказать, что он молодец и взвешенно подходит к описанию проекта. Райан явно предупреждает:

DO NOT USE IN PRODUCTION. This is completely vibe coded and has not undergone any reviews for memory safety. Its performance is also 2-3x slower than cmark.

Какую проблему я хочу подсветить статьёй? Код может выглядит педантичным, оптимизированным и безопасным, но таковым не является.

Хорошо, что работу проекта markus можно сравнить с другим решением и понять, что он получился не очень быстрым. А если сравнивать не с чем? Нужно экспертное мнение человека. Беда в том, что многим кажется, что теперь эксперт и обзор кода не нужны.

Нужен ли эксперт?

А может быть, оценка кода экспертом действительно не нужна?

Вы создали код. Он выглядит красиво и опрятно. Он выглядит оптимизированным и работает. Может, этого достаточно?

На мой взгляд, без оценки можно обойтись, если выполняются все четыре условия:

  1. Никто не пострадает и не понесёт убытки, если код работает не так, как задумывалось, из-за багов или неправильной интерпретации ТЗ.

  2. Код безответственный в плане безопасности. Никто не будет его ломать, так как это никому не нужно.

  3. Скорость работы кода неважна.

  4. Не предполагается, что у проекта будет долгий жизненный цикл. Его не потребуется развивать десятилетиями, сопровождать, адаптировать для других платформ и т. д.

Во всех остальных случаях, извините, все требования к проверке качества кода в силе и ещё более актуальны. К вайб-коду должны применяться все те же процессы, что описываются в SSDLC / стандарте РБПО.

Почему я строг к ИИ

Я не строг, а требователен. Для реализации проекта взят язык С++. Суть использования C++ — построение быстрых, эффективных приложений, экономно использующих память. Если вам не нужна быстрая программа, не надо использовать C++.

Раз уж выбран C++ для создания быстрого приложения, то задача именно написать быстрый код. Неважно, пишет его человек или это делает ИИ. Если быстрый код не получился — задача не решена.

Мой личный интерес — изучать, что такое вайб-код и как статические анализаторы могут помочь контролировать его надёжность. Вайб-коду, как и людям, свойственно антипаттерны, но другие. Есть смысл развивать анализатор PVS-Studio с учётом этих особенностей.

Попутно, раз я всё равно смотрю проекты, есть повод написать статью. У меня нет задачи ругать вайб-код и в целом вайб-кодинг. Это глупо, это просто инструмент. Но в отличие от евангелистов ИИ у меня нет задачи продвигать эти технологии, поэтому если я вижу, что код — хрень, я так и напишу.

SIMD-friendly код

Комментарий к функции IsSpanBlank обещает, что код составлен из расчёта облегчить компилятору задачу его векторизации, например, с помощью SSE-инструкций.

Суть оптимизации — несколько элементов обрабатываются одновременно, чтобы определить, хранят ли они пробельные символы.

// Check if a span contains only blank characters (space, tab, \r, \n)
// SIMD-friendly: processes 8 bytes at a time
inline bool IsSpanBlank(const char* data, size_t len) {
  size_t i = 0;
  // Process 8 bytes at a time
  for (; i + 8 <= len; i += 8) {
    // For each byte, check if it's NOT a blank character
    // Blank chars: space(0x20), tab(0x09), \n(0x0A), \r(0x0D)
    bool all_blank = true;
    for (size_t j = 0; j < 8; ++j) {
      unsigned char c = static_cast<unsigned char>(data[i + j]);
      bool is_blank = (c == ' ' || c == '\t' || c == '\n' || c == '\r');
      all_blank = all_blank && is_blank;
    }
    if (!all_blank) return false;
  }
  // Handle remaining bytes
  for (; i < len; ++i) {
    unsigned char c = static_cast<unsigned char>(data[i]);
    if (c != ' ' && c != '\t' && c != '\n' && c != '\r') {
      return false;
    }
  }
  return true;
}

Код создаёт впечатление, что ИИ знает, что делает. Внутренний цикл всегда обрабатывает по 8 символов, и предполагается, что эта часть может быть оптимизирована с помощь SIMD-инструкций. Оставшийся хвост символов обрабатывается отдельным простым циклом.

Мне этот код показался подозрительным тем, что на самом деле байты обрабатываются всё так же последовательно. Вложенный цикл не несёт чего-то полезного. На мой взгляд, этот код не лучше и не хуже простейшего варианта его реализации.

inline bool IsSpanBlank_Simple(const char* data, size_t len) {
  for (size_t i = 0; i < len; ++i) {
    unsigned char c = static_cast<unsigned char>(data[i]);
    if (c != ' ' && c != '\t' && c != '\n' && c != '\r') {
      return false;
    }
  }
  return true;
}

Я бы написал именно такой код. Если бы я понимал, что это узкое место и нужно непременно сделать код как можно быстрее, я бы пошёл искать решение, построенное на интринсиках.

Какой-то другой вариант, например, с вложенным циклом, я бы делать не решился. Я хоть что-то и понимаю в оптимизации, но не настолько, чтобы отважиться писать хитрый код с целью подсказать компилятору.

Можно сказать: “Вот! Ты слаб! А Claude Opus взял и сделал. Взял и написал более умный вариант”.

Давайте попробуем сравнить скорость. Мой коллега Филипп провёл небольшой эксперимент с GCC и Clang:

  • Формируем одинаковый набор данных для обоих бенчмарков: генерируем 1 000 000 строк случайной длины от 1 до 127 символов с произвольным содержимым. Генерация наборов не учитывается в замерах.

  • Подаём на вход алгоритму набор данных и для каждой строки вычисляем, содержит ли она пробельные символы. Замеряем общее время.

В обоих вариантах код компилируется с агрессивными оптимизациями -O3. Можно заметить, что для обоих компиляторов простой вариант функции лучше, чем с вложенным циклом.

afe91ee6e2dae2eb8797994e18f5372c.png

Быть может, просто надо какой-то волшебный ключ оптимизации указать, чтобы вайб-код оптимизировался лучше? Нет такого ключа. А если будет, компилятор и без подсказки сам сделает столь же эффективный вариант из простого кода с одним циклом.

Параллельно с коллегой тоже поэкспериментировал с двумя рассмотренными и тремя новыми вариантами алгоритма. Я использовал компилятор MSVC. Давайте посмотрим, какие результаты замеров получились.

Во-первых, мне подсказали, что ситуацию можно улучшить, заменив в изначальном варианте || на |. Short-circuit evaluation в нашем случае не помогает, а только вредит. Улучшенная проверка:

bool is_blank = (c == ' ' | c == '\t' | c == '\n' | c == '\r');
Полный код функции
inline bool IsSpanBlank_BinOR(const char* data, size_t len) {
  size_t i = 0;
  // Process 8 bytes at a time
  for (; i + 8 <= len; i += 8) {
    // For each byte, check if it's NOT a blank character
    // Blank chars: space(0x20), tab(0x09), \n(0x0A), \r(0x0D)
    bool all_blank = true;
    for (size_t j = 0; j < 8; ++j) {
      unsigned char c = static_cast<unsigned char>(data[i + j]);
      bool is_blank = (c == ' ' | c == '\t' | c == '\n' | c == '\r');
      all_blank = all_blank && is_blank;
    }
    if (!all_blank) return false;
  }
  // Handle remaining bytes
  for (; i < len; ++i) {
    unsigned char c = static_cast<unsigned char>(data[i]);
    if (c != ' ' && c != '\t' && c != '\n' && c != '\r') {
      return false;
    }
  }
  return true;
}

Во-вторых, я спросил DeepSeek. Он предложил вариант оптимизации, построенный на битовых операциях:

inline bool IsSpanBlank_Deepseek(const char* data, size_t len) noexcept {
    // Создаём битовую маску для допустимых символов
    // Используем 128-битную маску для ASCII
    static constexpr uint64_t blank_mask_low = []() {
        uint64_t mask = 0;
        mask |= 1ULL << ' ';
        mask |= 1ULL << '\t';
        mask |= 1ULL << '\n';
        mask |= 1ULL << '\r';
        return mask;
    }();
    
    for (size_t i = 0; i < len; ++i) {
        unsigned char uc = static_cast<unsigned char>(data[i]);
        if (uc >= 64) return false;  // Все blank-символы в ASCII < 64
        if (!((blank_mask_low >> uc) & 1)) return false;
    }
    return true;
}

И напоследок я попросил у DeepSeek оптимизированную функцию, по-настоящему использующую векторизацию. Вот что получилось:

inline bool IsSpanBlank_Deepseek_SSE(const char* data, size_t len) noexcept {
  // Создаём векторы с допустимыми символами
  const __m128i space = _mm_set1_epi8(' ');
  const __m128i tab = _mm_set1_epi8('\t');
  const __m128i newline = _mm_set1_epi8('\n');
  const __m128i carriage = _mm_set1_epi8('\r');
    
  size_t i = 0;
    
  // Обрабатываем по 16 байт
  for (; i + 15 < len; i += 16) {
    __m128i chunk = _mm_loadu_si128(reinterpret_cast<const __m128i*>(data + i));
       
    // Проверяем, что каждый байт является одним из допустимых
    __m128i eq_space = _mm_cmpeq_epi8(chunk, space);
    __m128i eq_tab = _mm_cmpeq_epi8(chunk, tab);
    __m128i eq_nl = _mm_cmpeq_epi8(chunk, newline);
    __m128i eq_cr = _mm_cmpeq_epi8(chunk, carriage);
       
    __m128i is_blank = _mm_or_si128(_mm_or_si128(eq_space, eq_tab),
                                         _mm_or_si128(eq_nl, eq_cr));
        
    // Получаем маску и проверяем
    int mask = _mm_movemask_epi8(is_blank);
    if (mask != 0xFFFF) return false;
}
    
  // Обрабатываем остаток
  for (; i < len; ++i) {
    char c = data[i];
    if (c != ' ' && c != '\t' && c != '\n' && c != '\r') return false;
  }
    
  return true;
}

Теперь результаты. Хотя 32-битные сборки сейчас неактуальны, ради интереса я и её запустил. Замеры выполнялись на массиве размером 212 мегабайт, заполненном случайными пробельными символами. Выполнение потока привязывается к одному предварительно прогретому ядру. Если непонятно, о чём идёт речь, загляните в статью “Вечный вопрос измерения времени”.

Win32:
1. Самый простой вариант с одним циклом:                        1.39 сек.
2. Изначальный "оптимизированный код" с вложенным циклом:       1.86 сек.
3. В изначальном варианте операторы || заменены на | :          0.351 сек.
4. Вариант от Deepseek с оптимизацией на битовых масках:        0.817 сек.
5. Вариант от Deepseek с оптимизацией на SSE2 интристиках:      0.0449 сек.

Win64:
1. Самый простой вариант с одним циклом:                        0.175 сек.
2. Изначальный "оптимизированный код" с вложенным циклом:       0.309 сек.
3. В изначальном варианте операторы || заменены на | :          0.253 сек.
4. Вариант от Deepseek с оптимизацией на битовых масках:        0.207 сек.
5. Вариант от Deepseek с оптимизацией на SSE2 интристиках:      0.0396 сек.

Хорошо заметно, что 64-битный код получился намного эффективнее, кроме случая, где в ход идёт SSE2, но и там в любом случае всё быстро.

Код, сгенерированный Claude Opus для проекта markus, худший из всех вариантов.

Даже самый простой вариант с обыкновенным циклом не только быстрее, но ещё и короче. Дополнительные строки кода пошли только во вред.

В лидерах код на интристиках, но платой тому — ограничение переносимости.

Кто-то скажет, что я зря переживаю. Да, Claude Opus выбрал неудачно решение, но ведь DeepSeek предложил вполне хорошее, быстрое и переносимое решение.

Согласен. Вот только в проекте мы видим неудачный код. Код выглядит оптимизированным, но таковым не является. Задача не решена. Нужен эксперт, который это поймёт и выберет другое решение.

В будущем проблема будет нарастать. Сгенерированного кода будет всё больше, а людей, которые могут делать обзор кода, останется столько же. Затем системы начнут учиться на таком же “оптимизированном” коде... Ох, интересные времена нас ждут.

Сравнение строк: цветочки

Моё внимание привлекло предупреждение PVS-Studio: V590 [CWE-571] Consider inspecting this expression. The expression is excessive or contains a misprint. markus.h 5987

Действительно, код содержит избыточную проверку:

BlockNode ParseParagraph() {
  ....
  auto trimmed = detail::TrimLeft(line);  // trimmed имеет тип std::string_view
  ....
  if (trimmed.size() >= 2 && trimmed[1] == '!' && trimmed.size() >= 9) {  
  ....
}

Тут, на самом деле, ничего страшного. Ну лишняя проверка, которую и так выкинет компилятор. Для красоты код, конечно, стоит поправить, но не более того:

if (trimmed.size() >= 9 && trimmed[1] == '!') // вот теперь хорошо

Однако глаза скользнули на код ниже if. И вот там избыточность, которая достойна вашего внимания:

std::pmr::string upper;
for (size_t j = 0; j < 9; ++j) {
  upper += static_cast<char>(
      std::toupper(static_cast<unsigned char>(trimmed[j])));
}
if (upper.starts_with("<!DOCTYPE")) {
  goto html_interrupt;
}

Здесь выполняется проверка, что строка начинается с "<!doctype", причём без разницы, используются строчные буквы или заглавные. Чтобы игнорировать верхний/нижний регистр, создаётся временная строчка в верхнем регистре и уже она сравнивается с шаблоном.

Так себе решение с точки зрения эффективности. Создание временной строки — это тяжёлая операция, несмотря на то, что используется std::pmr::string. Всё равно ведь надо символы копировать в память, да ещё по одному. Кстати, здесь простой std::string будет не хуже, так как строка не более 15 символов и сработает Small String Optimization.

Лучше написать функцию, выполняющую сравнение без учёта регистра. Например, такую:

bool starts_with_insensitive(std::string_view str,
                             std::string_view prefix_lower_case)
{
  if (str.size() < prefix.size()) return false;

  const auto pred = [](unsigned char lhs, unsigned char rhs)
  {
    return lhs == std::tolower(rhs);
  };

  return std::equal(prefix_lower_case.begin(), prefix_lower_case.end(),
                    str.begin(),
                    pred);
}

Это просто пример. Можно реализовать алгоритм по-другому или сделать istring_view, написав свои char_traits, и так далее. Главное — мы избавляемся от создания временной строки и упрощаем код, выполняющий проверку:

if (starts_with_insensitive(trimmed, "<!doctype")) {
  goto html_interrupt;
}

Ещё ярче необходимость создания функции сравнения станет видна в следующей главе. Как говорится, это только цветочки, а ягодки будут впереди.

Сравнение строк: ягодки

Просматривая другие предупреждения PVS-Studio, я обратил внимание на этот вектор строк:

std::optional<HtmlBlock> TryParseHtmlBlock() {
  ....
  static const std::pmr::vector<std::pmr::string> type1_tags = {
      "script", "pre", "style", "textarea"
  };
  ....
}

Анализатору он не нравится: V1096 The ‘type1_tags’ variable with static storage duration is declared inside the inline function with external linkage. This may lead to ODR violation. markus.h 4781

Нет смысла рассматривать это предупреждение в статье. Куда серьёзнее то, как работают с этим вектором. Анализатор не может оперировать высокоуровневыми понятиями и заметить неладное, зато это может заметить человек и сказать всё, что думает про эту дичь.

Код ниже проверяет наличие этих тегов в строке. Но ведь в теге ещё есть открывающая угловая скобка <, поэтому ИИ, не стыдясь, создаёт эти временные строки, содержащие тег со скобкой:

for (const auto& tag : type1_tags) {
  std::pmr::string open_tag = "<" + tag;

Далее нужно проверить наличие этого тега в строке без учёта регистра. Собственно, почему бы для этого не создать ещё одну временную строчку. Вайб-код генерировать — не мешки ворочать.

std::pmr::string lower;
for (size_t j = 0; j < open_tag.size(); ++j) {
   lower += static_cast<char>(
       std::tolower(static_cast<unsigned char>(trimmed[j])));
}

Весь этот кринж выглядит следующим образом:

static const std::pmr::vector<std::pmr::string> type1_tags = {
    "script", "pre", "style", "textarea"
};

for (const auto& tag : type1_tags) {
  std::pmr::string open_tag = "<" + tag;
  if (trimmed.size() >= open_tag.size()) {
    std::pmr::string lower;
    for (size_t j = 0; j < open_tag.size(); ++j) {
      lower += static_cast<char>(
        std::tolower(static_cast<unsigned char>(trimmed[j])));
    }
    if (lower == open_tag) {
      // ....
    }
  }
}

В худшем случае (если тега в тексте нет), создаётся восемь временных строк! Ситуацию лишь немного спасает то, что формируемые строки небольшие по размеру, и Small String Optimization внутри std::pmr::string устранит динамические аллокации.

И ведь можно достаточно легко сделать код быстрее. Во-первых, можно сразу сформировать нужные префиксы и записать их в вектор. Во-вторых, вектор можно смело заменить на массив std::string_view, что вовсе уберёт динамические аллокации.

using namespace std::literals;

static constexpr std::array type1_tags = {
  "<script"sv, "<pre"sv, "<style"sv, "<textarea"sv
};

В-третьих, теперь можно найти префикс с помощью написанной ранее функции starts_with_insensitive. В результате весь говнокод, приведённый выше, сокращается до:

using namespace std::literals;

static constexpr std::array type1_tags = {
  "<script"sv, "<pre"sv, "<style"sv, "<textarea"sv
};
for (auto tag : type1_tags) {
  if (starts_with_insensitive(trimmed, tag.c_str(), tag.size()) {

Код стал в два раза короче и в N раз быстрее.

Можно и дальше улучшения делать. Например, не создавать строку с тегом в скобах end_condition = "</" + tag + ">";, а брать уже готовую из массива. Но хватит уже это место мучить.

Цена красоты

Когда я первый раз пролистывал код, моё уважение вызвал код сериализации массива объектов в строку. Всё по фэншую: разные функции обходят с помощью паттерна “визитор” массивы вариантов и формируют нужные строки. Код типобезопасный и короткий.

Функций сериализации четыре: GetAltTextFromIds, GetAltText, RenderInlines, DebugAst, но для примера приведу только одну, которая покороче:

using InlineNode = std::variant<....>;

std::pmr::string GetAltText(const std::pmr::vector<InlineNode>& nodes) {
  std::pmr::string result;
  for (const auto& node : nodes) {
    std::visit(
        [&result, this](auto&& arg) {
          using T = std::decay_t<decltype(arg)>;
          if constexpr (std::is_same_v<T, Text>) {
            result += arg.content;
          } else if constexpr (std::is_same_v<T, Code>) {
            result += arg.content;
          } else if constexpr (std::is_same_v<T, SoftBreak>) {
            result += ' ';
          } else if constexpr (std::is_same_v<T, HardBreak>) {
            result += ' ';
          } else if constexpr (std::is_same_v<T, Emphasis>) {
            result += GetAltTextFromIds(arg.children);
          } else if constexpr (std::is_same_v<T, Strong>) {
            result += GetAltTextFromIds(arg.children);
          } else if constexpr (std::is_same_v<T, Link>) {
            result += GetAltTextFromIds(arg.children);
          } else if constexpr (std::is_same_v<T, Image>) {
            result += arg.alt_text;
          }
        },
        node);
  }
  return result;
}

Выглядит элегантно. Изначально из-за этого кода я думал назвать статью как-то менее вызывающе. После рассмотрения недостатков я планировал привести этот код как положительный пример. Мол, вот здесь ИИ написал лучше, чем это сделает не очень начитанный C++ программист. Итого: местами не очень получилось, а где-то прям здорово.

Перед написанием хвалебной части мне, естественно, понадобилось посмотреть на код внимательнее и попробовать разобраться, что к чему. Зачем я только это сделал... Остался бы и дальше очарованным паттернами, ключевыми словами constexpr и кодом, красиво оформленным в столбик.

Оказывается, и здесь плохо. Сейчас и вам расскажу почему.

Мем: когда не знаешь или знаешь
Мем: когда не знаешь или знаешь

Итак, стоит задача хранить массив неких элементов, которые по-разному сериализуются в строки.

Простым подходом будет создать базовый класс и наследовать от него разные сущности. В контейнере тогда будут храниться указатели на него. А для сериализации понадобится в разных случаях вызывать разные виртуальные функции. Получилась бы приблизительно следующая иерархия классов:

using namespace std::literals;

struct Node
{
    virtual ~Node() = default;
    virtual std::string StrAltText() = 0;
    virtual std::string StrDebug() = 0;
};

struct SoftBreak : public Node {
    std::string StrAltText() { return " "s; }
    std::string StrDebug() { return " "s; }
};

struct HtmlBlock : public Node {
    std::string content;
    std::string StrAltText() { return content; }
    std::string StrDebug() { return std::format("HtmlBlock = {}", content); }
};

Массив таких объектов превращался бы в строку как-то так:

std::string GetAltText(const std::vector<Node *>& nodes) {
    std::string result;
    for (const auto& node : nodes)
        result += node->StrAltText();
    return result;
}

Приведённый код требует ручного управления памятью, да и вообще небезопасен. Ситуацию можно улучшить, храня в векторе умные указатели, например std::unique_ptr. Другой вариант — использовать std::any.

Однако остаётся вторая проблема: код сериализации размазан по множеству классов. Можно собрать обработку в одном месте, узнавая тип объекта в массиве с помощью dynamic_cast. Это медленно.

Поэтому классическим решением будет хранить идентификатор объекта в базовом классе, чтобы быстро определять его тип:

enum NodeType
{
    kSoftBreak,
    kHtmlBlock
};

struct Node
{
    const NodeType type;
    Node(NodeType t) : type(t) {}
    virtual ~Node() = default;
};

struct SoftBreak : public Node {
    SoftBreak() : Node(kSoftBreak) {}
};

struct HtmlBlock : public Node {
    std::string content;
    HtmlBlock() : Node(kHtmlBlock) {}
};

Теперь обработку, хоть и не очень изящно, можно собрать в одном месте:

std::string GetAltText(const std::vector<std::unique_ptr<Node>>& nodes)
{
    std::string result;
    for (const auto& node : nodes)
        switch(node->type)
        {
            case kSoftBreak:
            {
                // Здесь даже не требуется получать сам объект.
                // SoftBreak &n = *static_cast<SoftBreak *>(node);
                result += ' ';
                break;
            }
            case kHtmlBlock:
            {
                const HtmlBlock &n = static_cast<const HtmlBlock &>(*node);
                result += n.content;
                break;
            }
    }
    return result;
}

Если хочется большего изящества, можно воспользоваться типом данных std::variant, что и сделал Claude Opus. Тип std::variant — это такой умный вариант union, безопасный с точки зрения работы типов. Вот только тут есть нюанс. Жирный такой нюанс.

Но начнём мы с того, то ИИ вообще создал странную избыточную сущность. Он завёл перечисление NodeType, которое бывает нужно для схемы, которую мы рассмотрели выше:

enum class NodeType {
  ....
  kHtmlBlock,
  kBlockQuote,
  kList,
  kListItem,
  kText,
  kSoftBreak,
  ....
};

И вставил бессмысленный числовой идентификатор kType в структуры:

struct SoftBreak {
  static constexpr NodeType kType = NodeType::kSoftBreak;
};

struct HtmlBlock {
  static constexpr NodeType kType = NodeType::kHtmlBlock;
  std::pmr::string content;
  int block_type = 0;  // CommonMark HTML block type (1-7)
};

Это перечисление и идентификатор в структурах не нужны. kType нигде не используется, благо объявлен он как static и не занимает память в каждом объекте.

Само перечисление используется в единственном месте — в функции NodeTypeToString:

// Convert NodeType to string for debugging
inline std::string_view NodeTypeToString(NodeType type) {
  switch (type) {
    case NodeType::kDocument:
      return "Document";
    case NodeType::kParagraph:
      return "Paragraph";
    case NodeType::kHeading:
      return "Heading";
    case NodeType::kThematicBreak:
      return "ThematicBreak";
   ....
    case NodeType::kHtmlInline:
      return "HtmlInline";
  }
  return "Unknown";
}

Вот только непонятно, зачем и как этой функцией пользоваться на практике. Зачем она? Чем она поможет? Кажется, никому и ничем. В общем, всё это можно удалить и сократить размер кода проекта ещё строк на 100.

Ну лишний код, и ладно — не привыкать. Дальше нас ждёт самое толстое. В прямом смысле слова.

Особенность переменной типа std::variant в том, что она должна иметь достаточный размер для размещения внутри себя наибольшей альтернативы. В нашем случае вариант должен вмещать в себя следующие классы:

using InlineNode = std::variant<Text, SoftBreak, HardBreak, Code, Emphasis,
                                Strong, Link, Image, HtmlInline>;

Размер этих классов весьма разный, начиная с самых маленьких, таких как SoftBreak:

struct SoftBreak {
  static constexpr NodeType kType = NodeType::kSoftBreak;
};

Размер этого класса 1 байт. Хотя класс пустой, он всё равно должен занимать хотя бы один байт.

Самый большой класс — Image:

struct Image {
  static constexpr NodeType kType = NodeType::kImage;
  std::pmr::string destination;
  std::pmr::string title;
  std::pmr::string alt_text;
};

Его размер в 64-битной программе может составлять 120 байтов. Дело в том, что std::pmr::string, например, в реализации STL занимает 40 байтов. Вы уже поняли, что это означает?

Вариант ещё дополнительно хранит информацию, какой тип он содержит в текущий момент. Итого размер одного объекта типа InlineNode составляет 128 байтов! Можете здесь сами посмотреть.

Итого, программа работает с массивами, где размер каждого элемента 128 байтов. Офигительная “эффективность” расхода памяти.

Столько памяти нужно даже для того, чтобы хранить пустые классы, обозначающие разделители и превращающиеся обычно в пробелы:

} else if constexpr (std::is_same_v<T, SoftBreak>) {
  result += ' ';

Чтобы знать, где напечатать пробел, требуется хранить 128 байтов.

Перерасход памяти сам по себе, может, не такая уж большая проблема, но здесь ещё возникает и проблема производительности. При работе с таким растянутым массивом менее эффективно будет использоваться и кэш процессора.

Можно возразить, что вариант с умными указателями добавляет уровень косвенности при доступе к объекту, что тоже замедлит работу. И ещё нужно самому тип объекта проверять (см. выше пример со switch).

Не принимается. Косвенный доступ по указателю не существенный, учитывая, что потом всё равно будет куча обращений к памяти для чтения строк и их конкатенации. Перерасход памяти выглядит куда более существенной проблемой. Что по поводу проверки типа объекта, так она всё равно есть, просто скрыта внутри std::variant.

Ещё представьте, как болезненно происходит расширение вектора, если очередной элемент уже не влезает в зарезервированный буфер. Например, здесь:

std::pmr::vector<InlineNode> link_content;
for (size_t i = opener->pos + 1; i < result.size(); ++i) {
  link_content.push_back(std::move(result[i]));
}

При расширении вектора происходит перемещение объектов на новые места. Брр... Версия с умными указателями на базовый класс std::vector<std::unique_ptr<Node>> куда легковеснее.

Итог: перед нами вновь говнокод, поданный в красивой обёртке.

Я не говорю, что умные указатели или std::any здесь является лучшим решением. Можно что-то и другое придумать. Если задача — писать эффективный код, то это хорошее место, чтобы подумать, как хранить объекты и обходить их для сериализации.

Что ещё?

Не знаю. Я и так уже вышел за лимит времени, который собирался посвятить просмотру кода и статье.

Это ещё раз говорит о росте ценности ревьюеров. Нагенерировать код всё проще. Вопрос: где взять силы на его просмотр и вынесение вердикта, получилось ли то, что нужно? Кто возьмёт ответственность за результат? Мы всё-таки в мире C++, суть использования которого — эффективность. Если кому-то скорость вообще не нужна, что он тут забыл?

Внимательный разбор завершаю, но напоследок пройдусь по некоторым предупреждениям PVS-Studio.

Склероз

Предупреждение: V560 [CWE-571] A part of conditional expression is always true: !input.empty(). markus.h 2228

explicit LineBuffer(std::string_view input) {
  if (input.empty()) [[unlikely]] {
    return;
  }
  ....
  // input не модифицируется
  ....
  if (input.size() > line_start ||
      (!input.empty() && (input.back() == '\n' || input.back() == '\r'))) {
    line_offsets_.push_back({line_start, input.size() - line_start});
  }
  ....
}

ИИ педантично вставляет [[unlikely]], чтобы подсказать компилятору, что это маловероятное событие. Но при этом через некоторое время забывает, что далее строка всегда непустая, и влепляет бессмысленную повторную проверку !input.empty().

С кем поведёшься, от того и наберёшься

Предупреждение: V1048 [CWE-1164] The ‘prev_line_had_content’ variable was assigned the same value. markus.h 4090

void ExtractLinkReferences(Document& doc) {
  ....
  bool prev_line_had_content = false;
  ....
  if (prev_line_had_content) {
    prev_line_had_content = true;  // This line also has content
    Advance();
    continue;
  }
  ....
}

Переменной prev_line_had_content присваивается значение true, хотя из проверки и без того следует, что там лежит это значение. Анализатор прав — перед нами бессмысленная строчка кода. Но предупреждение неинтересное: я бы не стал его рассматривать, если бы не комментарий.

Слышали байки, что программисты иногда пишут верные, но бесполезные комментарии? Видимо, у ИИ были “хорошие” учителя. Это как раз тот случай, когда комментарий фактически пересказывает выполняемое действие, не добавляя ничего нового.

См. также "Вредный совет N53 — Отвечай в комментарии на вопрос “что?” в книге “60 антипаттернов для С++ программиста”.

Создание временных прокси объектов

Предупреждение: V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2597

std::pmr::vector<InlineNodeId> ParseInlines() {
  std::pmr::vector<InlineNode> result;
  ....
  result.push_back(Text(text_.substr(text_start, pos_ - text_start)));
  ....
}

В начале создаётся временный объект типа Text, затем он помещается в контейнер. Первая мысль: использовать emplace_back:

result.emplace_back(Text(text_.substr(text_start, pos_ - text_start)));

Но изменение на emplace_back в этом случае даст примерно 0% ускорения, так ещё и нагрузит дополнительно компилятор — ему придётся делать инстанцирование шаблона функции emplace_back. Внутри него уже будет идеально передаваться созданный объект, который будет перемещён конструктором перемещения.

Здесь придётся написать более хитрый код, чтобы действительно получилось размещение сразу в контейнере. Это контейнер вариантов, значит, мы должны подсказать ему, какую именно альтернативу собираемся создавать, и передать её std::string_view.

Вот как это будет выглядеть:

result.emplace_back(std::in_place_type<Text>, text.substr(....));

В таком случае мы идеально передадим подсказку о конструируемом типе и аргументы конструктора этого типа. Нас интересует 5-я перегрузка конструктора std::variant.

При таком изменении мы избавимся от одного вызова конструктора перемещения.

По отдельности мелочь, конечно, но если таких вставок много, то почему бы и не написать сразу хорошо

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2610

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2632

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2650

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2733

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2751

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2754

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2855

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2931

  • V823 Decreased performance. Object may be created in-place in the ‘quote_lines’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 5239

  • V823 Decreased performance. Object may be created in-place in the ‘quote_lines’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 5241

  • V823 Decreased performance. Object may be created in-place in the ‘item_lines’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 5641

  • V823 Decreased performance. Object may be created in-place in the ‘item_lines’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 5643

  • V823 Decreased performance. Object may be created in-place in the ‘para_lines’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 6045

  • V823 Decreased performance. Object may be created in-place in the ‘para_lines’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 6047

  • V823 Decreased performance. Object may be created in-place in the ‘delimiter_stack’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2729

  • V823 Decreased performance. Object may be created in-place in the ‘delimiter_stack’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2746

  • V823 Decreased performance. Object may be created in-place in the ‘line_offsets_’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2193

  • V823 Decreased performance. Object may be created in-place in the ‘line_offsets_’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2196

  • V823 Decreased performance. Object may be created in-place in the ‘line_offsets_’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2208

  • V823 Decreased performance. Object may be created in-place in the ‘line_offsets_’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2218

  • V823 Decreased performance. Object may be created in-place in the ‘line_offsets_’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2221

  • V823 Decreased performance. Object may be created in-place in the ‘line_offsets_’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2229

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2637

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2947

  • V823 Decreased performance. Object may be created in-place in the ‘result’ container. Consider replacing methods: ‘push_back’ -> ‘emplace_back’. markus.h 2958

Копия вместо перемещения

Предупреждение: V820 The ‘content’ variable is not used after copying. Copying can be replaced with move/swap for optimization. markus.h 4670

struct Heading {
  static constexpr NodeType kType = NodeType::kHeading;
  int level = 1;  // 1-6
  std::pmr::vector<InlineNodeId> children;
  std::pmr::string raw_content;  // Temporary storage for inline parsing
};

std::optional<Heading> TryParseAtxHeading() {
  ....
  std::pmr::string content(trimmed.substr(i));
  ....
  Heading heading;
  heading.level = level;
  heading.raw_content = content;    // <=
  return heading;
}

Строка в переменной content копируется, хотя её можно переместить, так как дальше она не нужна. Можно написать:

heading.raw_content = std::move(content);

А можно обойтись вообще без временного объекта heading и написать что-то типа:

return Heading { .level = level,
                 .raw_content = std::move(content)
               };
Опять-таки, рассмотренное место — мелочь, но постепенно накапливаются лишние действия

  • V820 The ‘info_string’ variable is not used after copying. Copying can be replaced with move/swap for optimization. markus.h 4761

  • V820 The ‘content’ variable is not used after copying. Copying can be replaced with move/swap for optimization. markus.h 4762

  • V820 The ‘content’ variable is not used after copying. Copying can be replaced with move/swap for optimization. markus.h 5101

  • V820 The ‘content’ variable is not used after copying. Copying can be replaced with move/swap for optimization. markus.h 5821

Закат солнца вручную

Предупреждение: V837 The ‘insert’ function does not guarantee that arguments will not be copied or moved if there is no insertion. Consider using the ‘try_emplace’ function. markus.h 5274

using LinkRefMap =
    std::pmr::unordered_map<std::pmr::string,
                            std::pair<std::pmr::string, std::pmr::string>>;

std::optional<BlockQuote> TryParseBlockQuote() {
  .... 
  LinkRefMap* parent_link_refs_ = nullptr;
  ....
  for (const auto& [label, dest_title] : nested_doc.link_references) {
    if (parent_link_refs_->find(label) == parent_link_refs_->end()) {
      parent_link_refs_->insert({label, dest_title});
    }
  }
  ....
}

PVS-Studio предупреждает о неэффективности, если в контейнере уже есть элемент с таким же ключом. В нашем случае защита от этого сделана вручную, но она неэффективна. В коде произойдут два поиска:

  1. Сначала ищем элемент по ключу для проверки условия.

  2. При вставке производим эту же операцию снова, пытаясь найти нужную позицию вставки в хэш-таблицу.

Вызов try_emplace в этой ситуации сделает ровно один поиск и вставит элемент, если его там не было:

for (const auto& [label, dest_title] : nested_doc.link_references) {
    parent_link_refs_->try_emplace(label, dest_title);
}

Заключение

Выводы всё те же, что были в предыдущей статье “Давайте заглянем в этот самый вайб-код”. Независимо от того, как вы создаёте программный код, для обеспечения качества и надёжности разрабатываемого ПО следует использовать комплекс мер.

  1. Цените архитекторов и разработчиков, которые умеют декомпозировать и строить модульную архитектуру.

  2. Помните, что безопасность закладывается в систему с момента её проектирования (КИБ).

  3. Цените разработчиков, которые могут отличить эффективный код от медленного, безопасный от опасного. Тех, кто может разобраться и принять решение, имеет ли право созданный код стать частью проекта.

  4. Используйте статические анализаторы кода.

  5. Используйте динамические анализаторы кода и FAST анализаторы для frontend-приложений.

  6. Используйте инструменты композиционного анализа. В случае использования ИИ это особенно актуально, так как их галлюцинации начали применять для атак на цепочки поставок.

  7. Используйте стандарты кодирования. Нет ничего хуже, когда код написан вразнобой.

  8. Примените по необходимости другие практики, обобщённо называемые разработкой безопасного ПО.

Если хотите поделиться этой статьей с англоязычной аудиторией, то прошу использовать ссылку на перевод: Andrey Karpov. Let’s check vibe code that acts like optimized C++ one but is actually a mess.

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  • 22.06.26 21:51 kimberlyhebert786

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    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

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  • 06.07.26 16:20 Olga Ognjanović

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  • 07.07.26 18:00 robertalfred175

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  • 07.07.26 18:01 robertalfred175

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  • 16.07.26 21:38 patricialovick86

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  • 18.07.26 23:51 bernalzenaida

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  • 19.07.26 04:10 Fraddy Pual

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  • 19.07.26 19:53 kimberlyhebertt6877

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  • 19.07.26 19:53 kimberlyhebertt6877

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  • 19.07.26 19:54 kimberlyhebertt6877

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  • 30.07.26 00:04 Ahmed

    A really cool analysis, thank you. I was especially struck by how strictly the order is defined: data processing and formatting come first, with color only at the very end. This really saves you from the typical mistake of "first a pretty palette, then we figure out what the chart is for." And the palette validator with OKLCH + colorblindness check is absolutely fantastic; you almost never see that in regular tools. By the way, while reading about rank-trajectory and the logarithmic scale, I immediately remembered how convenient it is to analyze dynamics on charts in ExpertOption—I've been trading there for quite some time now. When the data is well visualized, decisions are noticeably easier and more relaxed. I also liked the point about "no more than eight colors" and the dual-axis ban. Strict restrictions sometimes actually produce better results than complete freedom. I'll try this approach myself.

  • 30.07.26 17:27 wendytaylor015

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  • 30.07.26 17:27 wendytaylor015

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  • 04.08.26 11:05 Kisnoles

    Excellent analysis, thank you. I was particularly struck by how rigidly the skill sets the order: data processing and form come first, with color coming last. This really cures the habit of "first a pretty palette, then we'll figure it out." A palette validator using OKLCH + color blindness + WCAG is something most chart generators lack. And regarding the boundaries of competence, it's very clear. Where there's a self-checking loop (color), you delegate freely. Where there's a heuristic (form, data interpretation), you remain the final filter. This is a universal principle, not just for /dataviz. By the way, when you look at trading dashboards (including those of decent platforms like ExpertOption), it's immediately clear who thought about readability and who just threw in rainbow lines. Tools like this skill could greatly improve the quality of analytics. Thanks again for the detailed analysis – saved.

  • 04.08.26 12:37 kimberlyhebertt6877

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  • 16.08.26 01:44 Matt Kegan

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  • 18.08.26 04:59 marcushenderson624

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  • 19.08.26 14:50 BAYER7043

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  • 20.08.26 11:32 michaeldavenport218

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  • 23.08.26 20:02 leslieyee

    Excellent analysis by /dataviz! I was particularly struck by how strictly the order is defined: "data meaning first, color last" and how the validator actually adjusts the palette according to OKLCH, color blindness, and WCAG standards. These rules greatly improve the quality of charts. By the way, a similar approach to clean and legible charts is highly valued in trading—for example, on the ExpertOption platform, the interface and price visualization are designed to ensure information is read instantly and without unnecessary noise.

  • 25.08.26 13:44 lydiassmith567

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  • 30.08.26 15:37 [email protected]

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  • 01.09.26 17:34 Garry42

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  • 02.09.26 03:43 kimberlyhebertt6877

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  • 04.09.26 21:51 Kovengray

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  • 05.09.26 21:38 [email protected]

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  • 09.09.26 21:31 lisawerth897

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  • 09.09.26 21:31 lisawerth897

    My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684

  • 09.09.26 23:22 Fraddy Pual

    Hearing that these individuals are focusing on other people makes me very sad. I had a similar situation with them and lost a lot of money, but after learning about (Cruxcipherteam @ proton DoT me), whataqq:+168160-15021, telegram: @Cruxcipherteam I was able to get my money back. It's critical that we all be watchful and keep reporting these occurrences.

  • 11.09.26 03:23 kimberlyhebertt6877

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  • 11.09.26 03:23 kimberlyhebertt6877

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684

  • 15.09.26 03:35 elioduncan

    I fell victim to a freelance web development contract scam that ultimately cost me CAD 4,000. It all started when I came across a job posting on Indeed Canada, a popular online job portal. The position seemed perfect: a freelance web developer role for an established company looking for someone to design and build a fully functional e-commerce website. The job promised a high payment of CAD 20,000 upon successful completion, which sounded like a great opportunity for me to gain experience and earn decent pay.The employer, who introduced himself as a project manager from a "well-known" tech company, was very persuasive and professional in our initial communication. He explained that the project involved developing a user-friendly, responsive online store for their client and that they had a strict timeline to meet. He assured me that the payment would be made promptly after completing the tasks. However, before starting the work, he told me that I would need to pay an upfront fee of CAD 4,000 to cover certain software tools and licensing fees required for the project. This was supposedly a part of their company policy for freelance contractors, ensuring access to their premium resources. The idea of working on a professional project, coupled with the promise of a substantial payout, convinced me to pay the upfront fee.As soon as I made the payment, the project manager became increasingly difficult to reach. He initially responded to my emails and provided some vague instructions on what the project would entail, but as time went on, communication slowed to a complete halt. I never received the required tools or any proper project details. My emails went unanswered, and any attempts to contact the company were met with silence. After waiting for weeks, I realized that I had been scammed.Desperate to recover my money, I turned to TechY Force Cyber Retrieval, a service that specializes in helping victims of online scams. They helped me track the payment and took legal steps to pursue the fraudsters. Through their guidance, I was able to recover the full CAD 4,000. TechY Force Cyber Retrieval worked with my bank to reverse the transaction and liaised with the authorities to trace the scammer's details.This was a hard lesson, and I now know to be highly cautious about online job offers that require upfront payments. It is crucial to research companies thoroughly and avoid any job that seems too good to be true, especially when it involves paying money upfront. WhatsApp https://wa.link/2x6ktp Mail. [email protected]

  • 15.09.26 15:45 lydiassmith567

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  • 15.09.26 15:45 lydiassmith567

    HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

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