Экспертное мнение по вайбкодингу. Как думаете, есть решение в крупных компаниях, в том числе по безопасности? Или вайбкодингу достанутся MVP и эксперименты для себя?

Channel
VP Cybersecurity Brief
@VPCBrief
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
496subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003874979346 |
|---|---|
| Type | Channel |
| Username | @VPCBrief |
| Description | Анализ лучших практик управления кибербезопасностью в России и в мире. Написать автору - @popepiusXIII. Реклама в канале не размещается. Возможно информационное размещение по мероприятиям в тематике канала. Посты пишутся без ИИ. |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/VPCBrief |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 18:47 | 496 | no change |
| 6 Aug 2026, 16:25 | 496 | +1 |
| 6 Aug 2026, 09:19 | 495 | first reading |
Engagement
17 posts held, back to 29 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 23.0%
- avg views ÷ 496 subscribers
- Avg views / post
- 114
- 17 posts measured
- Reaction rate
- 0.504%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 17 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 3 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 17 (29 July 2026 – 6 August 2026) |
| Views total | 1,936 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 18:47 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- 553
- Videos
- 6
- Links
- 565
Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 50.0% | |
| 👎 | 1 | 50.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 3 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 29 July 2026 to 6 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
# Блекпилл по поводу агентов Я раз в пару месяцев осциллирую по поводу AI тулов для кодинга. Сегодняшняя итерация: я ошибался, вайбкодинг не работает для разработки чего-либо, чем надо пользоваться больше одного раза. И никогда не работал. Я думаю, что агенты (claude code/codex) производят технический долг быстрее полезного кода. При этом они не умеют его разгребать. Проект с агентами быстро слопизируется, но десло…
Практика Selectel использования GLM 5.2 для разбора инцидентов L1 SOC. Поток инцидентов в описанной практике - 100 в месяц. Несмотря на заголовок, дообучение модели не производилось.
Ведущая популярного шоу Разрушители мифов выпустит ряд серий про мифы кибербезопасности Into the breach . Можно посмотреть пока трейлер. Выглядит пока неоднозначно, в трейлере рассказывают, что диод нельзя взломать 😀. Зато много использования огнеметов в кадре. https://www.opswat.com/into-the-breach
Новое Распоряжение Правительства РФ по обязательному предустановленному ПО заметно влияет на поверхность кибератак следующего 2027 года. Какие изменения в версии 2027 года, как мне кажется, стоит учесть в своих планах на 2027 год: 1. Проверить в своих закупках есть ли требование по предустановке ПО, в том числе, из данного распоряжения. Данное распоряжение относится к товарам для физлиц, если организация сама явно…
На фоне экспоненциальных графиков роста критических уязвимостей после релиза модели Mythos, очень освежающе смотрится отчет страховой компании Resilience. В отличии от других отчётов, где анализ производится на основе или опросов или внутренних данных самой компаний, в этом отчёте анализируются заявления на выплаты по киберстраховкам. Из минусов я явно не увидел объем выборки на основе которой построен отчёт. Комп…
Одна из причин по которой можно отнести большинство новостей про взломы ИИ-моделями других компаний к PR это отсутствие исков, открытых расследований, мировых соглашений. Другим индикатором теперь является отсутствие "жертв" в ЕС где теперь включились оборотные штрафы за ущерб в следствии небрежности при настройке ИИ - до 3 процентов годового оборота. Де юре в подобных ситуациях возможны уголовные последствия от го…
OWASP выпустил новую версию Top 10 for LLM Applications 2026. 1. Prompt Injection 2. Sensitive Information Disclosure 3. Excessive Agency 4. Supply Chain 5. Data and Model Poisoning 6. Unbounded Consumption 7. Misinformation 8. Hidden Context Exposure 9. Vector and Embedding Weaknesses 10. Improper Output Handling Как и другие гайды проекта, этот список формировался силами сообщества. Участники предлагали новые кат…
❤1
File, posted without a caption
Можно смело брать презентацию и корректировать свои планы по реализации и подготовке новых решений по защите LLM\Агентов.
🕸 "не проиграл - он вышел из гонки ИИ добровольно"(с) С такого тезиса начинает автор статьи. Основные тезисы: 1. OpenAI и Anthropic вышли на петлю самоулучшения (RSI). 📈 RSI-концепция – модель А создаёт модель Б, которая создаёт модель В, и так далее по экспоненте. Их подход опирается на "горький урок" Ричарда Саттона: "грубая сила вычислений и масштабирование решают всё". 🧠 2. Сегодня те, кто сможет сделать моде…
Microsoft опубликовала программную статью, в которой заявила, что традиционная архитектура кибербезопасности перестаёт соответствовать эпохе автономных ИИ-агентов. Компания представила концепцию Project Perception — нового подхода к обнаружению угроз и поиску уязвимостей с использованием нескольких ИИ-моделей. https://blogs.microsoft.com/blog/2026/07/27/rethinking-security-for-the-age-of-ai/ SOC будущего будет стро…
Showing the 12 most recent of 17 posts we hold for @VPCBrief. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 373,773 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
@dealerAI · 16,4212 postsAI SecOps
@aisecops · 1,0691 postБорис опять
@boris_again · 17,3761 postData Secrets
@data_secrets · 92,0201 postdukeBarman'🐉 notes: заварено между строк
@dukebarmanpro · 2991 postЕвгений Кокуйкин - Raft
@kokuykin · 2,0141 postSecAtor
@true_secator · 41,5291 postAI Projects
@turboproject · 9,9831 post
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 6 August 2026 — this entry's latest reading, not the date you are reading this.
“VP Cybersecurity Brief” (@VPCBrief), 496 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/VPCBrief.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.