Channel
@testerlib
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
9,020subscribers
-68 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001298059592 |
|---|---|
| Type | Channel |
| Username | @testerlib |
| Created | 29 January 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/testerlib |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 07:16 | 9,020 | -10 |
| 13 Sept 2026, 23:41 | 9,030 | -8 |
| 9 Sept 2026, 19:55 | 9,038 | -3 |
| 4 Sept 2026, 12:58 | 9,041 | -2 |
| 1 Sept 2026, 03:56 | 9,043 | -4 |
| 28 Aug 2026, 19:34 | 9,047 | -8 |
| 22 Aug 2026, 17:42 | 9,055 | -10 |
| 19 Aug 2026, 17:52 | 9,065 | -6 |
| 16 Aug 2026, 08:42 | 9,071 | -8 |
| 13 Aug 2026, 06:28 | 9,079 | -5 |
| 10 Aug 2026, 08:50 | 9,084 | -4 |
| 6 Aug 2026, 22:20 | 9,088 | no change |
| 6 Aug 2026, 22:01 | 9,088 | first reading |
19 posts held, back to 22 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 31 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
131 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 29.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🥰 | 38 | 29.0% | |
| 🤩 | 29 | 22.1% | |
| 👍 | 28 | 21.4% | |
| ❤ | 20 | 15.3% | |
| 🔥 | 16 | 12.2% |
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 19 of the 19 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 131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 22 July 2026 to 8 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.
💳 Чит-лист планирования тестирования В этой шпаргалке собраны все ключевые моменты для эффективного планирования тестирования: от анализа документации и рисков до оценки производительности и безопасности. 🆖 Подходит для разработки тест-планов, проведения тестов и оценки качества работы системы. 📍 Навигация: [Вакансии] 🐸 Библиотека тестировщика #артефакт
🔥5❤2🥰2🤩1
🤔 У большинства разработчиков уже есть подписки на IDE, GitHub Copilot, Claude, ChatGPT или облачные сервисы. Логично, что обучение тоже постепенно приходит к той же модели: не покупать отдельный курс под каждую новую тему, а иметь доступ ко всей библиотеке и выбирать, что актуально именно сейчас. Такой формат недавно появился и в Proglib Academy. Вместо одного курса — доступ сразу ко всей библиотеке и новым матери…
🥰3🤩2❤1
Кажется, у онлайн-обучения появился формат, которого давно не хватало 👇
🥰3🤩2
📍 Навигация: [Вакансии] 🐸 Библиотека тестировщика #прод_в_пятницу
🤩5
🧩 Чек-лист: что проверить после инфраструктурного изменения Изменили DNS? Обновили балансировщик? Перенесли сервис в другой регион? Вот минимальный набор проверок. 🌐 Доступность Критичные endpoint’ы отвечают (health check). DNS резолвится корректно и возвращает ожидаемые IP. SSL-сертификат валиден. 🔀 Маршрутизация Трафик проходит через нужный балансировщик или CDN. Редиректы работают корректно (HTTP → HTTPS, www…
👍3🥰2
📌 Инструмент недели: Bugasura Забудьте про громоздкие баг-трекеры, в которых баг завести дольше, чем его воспроизвести. Достаточно сделать скриншот или записать экран — и баг уже оформлен, с шагами, приоритетом и тегами. Что умеет: ➖ Быстрое создание баг-репортов с картинками и видео ➖ Интеграции с Jira, Trello, Slack, GitHub ➖ Работа из браузера, мобильного приложения или десктопа ➖ Отслеживание статусов и прогре…
👍4🤩2🥰2
📌 Шпаргалка по GIT Все ключевые команды под рукой: — инициализация, коммиты, ветки и слияния, — push/pull и обновление проектов, — сравнение версий и откат изменений. Полезно для тестировщиков, работающих с автотестами и CI/CD. 📍 Навигация: [Вакансии] 🐸 Библиотека тестировщика #артефакт
❤3🤩3🥰1
😱 Знакомо? Лимит уже закончился, а задача всё ещё не готова. Часть токенов могла уйти на повторное чтение файлов, лишний контекст и неудачные попытки. ⚡️ Этому посвящён отдельный блок курса «ИИ для разработчиков». Вы разберёте расходы на собственных проектах, сравните подходы и найдёте места, где агент выполняет лишнюю работу. В итоге станет понятнее, сколько ресурсов выделять на запуск, когда его останавливать и в…
🥰3🤩2
Куда на самом деле уходят токены во время агентного кодинга? 😊
🥰2
🔥 Вопрос с собеседования Пользователь работает в онлайн-редакторе документов. Набирает текст, закрывает вкладку, открывает снова — последние 2 минуты работы потеряны. Автосохранение якобы включено. Это баг ❓ 👇 Правильный ответ (нажми, чтобы прочитать): Скорее всего да. Если по требованиям автосохранение должно сохранять изменения автоматически, потеря данных — критичный баг. 🔵 Возможные причины: — Автосохранени…
🔥8👍3🥰2🤩1
Такова реальность 😏 📍 Навигация: [Вакансии] 🐸 Библиотека тестировщика #прод_в_пятницу
❤4🥰3
👩💻 Swagger — это не только документация Его можно превратить в основу API-автотестов: генерировать клиентов и модели, автоматически считать покрытие и быстро находить непроверенные endpoint’ы. ➡️ В карточках показали, как это работает. А самое интересное — использование AI для генерации недостающих тестов — не поместилось. Подробности ищите в полной статье 🔗 Разобраться глубже в работе LLM и AI-автоматизации помо…
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Showing the 12 most recent of 19 posts we hold for @testerlib. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 7 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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Библиотека тестировщика | QA, тестирование, quality assurance, manual testing, autotesting, ручное тестирование, автотесты” (@testerlib), 9,020 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/testerlib.
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.