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Channel

Programming & AI Tips 💡

@ProgrammingTip

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry

45,887subscribers

-1,322 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001124766173
TypeChannel
Username@ProgrammingTip
DescriptionProgramming & AI: Tips 💡 Articles 📕 AI & LLMs 👾 Design, Architecture, Principles ✅ 🇳🇱 Contact: @MoienTajik
Created7 July 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/ProgrammingTip

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.

Growth

45,88747,20946,5486 August 202611 November 2026
66 measurements spanning 98 days, net -1,322. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 45,689–47,407 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
11 Nov 2026, 15:5645,887-8
9 Nov 2026, 17:1845,895-24
8 Nov 2026, 09:4245,919-20
7 Nov 2026, 04:0045,939-10
6 Nov 2026, 07:0045,949-10
5 Nov 2026, 08:3545,959-8
4 Nov 2026, 08:3945,967-17
3 Nov 2026, 04:5645,984+1
2 Nov 2026, 05:2045,983-6
1 Nov 2026, 06:4545,989-8
31 Oct 2026, 09:0845,997-23
30 Oct 2026, 07:3946,020-11
29 Oct 2026, 10:5746,031-9
28 Oct 2026, 12:5946,040-15
27 Oct 2026, 11:5646,055-18
26 Oct 2026, 14:4646,073-9
25 Oct 2026, 14:3646,082-10
24 Oct 2026, 14:1046,092-7
23 Oct 2026, 16:4446,099-16
22 Oct 2026, 19:1846,115first reading

Engagement

52 posts held, back to 22 August 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 194 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.35%
avg views ÷ 45,887 subscribers
Avg views / post
2,460
9 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
9
of 52 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held52 (22 August 2024 – 10 November 2026)
Views total22,100
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 00:56 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
67
Videos
11
Links
387

Lifetime counters from Telegram’s own channel header, read 12 November 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.

Video runtime
5m 17s
Average length
1m 46s

Measured directly from 3 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 9 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

10 Nov 2026, 08:05 UTC≈1,100 viewsread 12 November 2026

Claude Fable 5.2 and Mythos 5.2 are out 🚀 Anthropic shipped Claude Fable 5.2 and Mythos 5.2. The useful part for teams is simple: model swaps are not just a leaderboard event. They change what your eval suite needs to catch before you update a production alias. Before switching: • Run your real tool-call and structured-output cases. • Check retry rates, latency, and token use. • Keep a small regression set for th…

4 Nov 2026, 10:32 UTC≈2,170 viewsread 12 November 2026

NuGet packages can deliver agent skills 🔥 Microsoft is showing how to ship skills in NuGet packages. The idea is simple: a package can carry more than assemblies, analyzers, and build targets. It can also deliver instructions and reusable capability definitions that coding agents can discover in a repo. Why this is useful: • Package authors can document the right workflow next to the API. • App teams get consiste…

27 Oct 2026, 08:01 UTC≈3,270 viewsread 12 November 2026

GPT-6.1 Terra is in the OpenAI API 🚀 OpenAI introduced GPT-6.1 Terra for developers who need computer use without paying for a slower, heavier model on every task. Call it as gpt-6.1-terra. The pitch is fast UI interaction, capable multi-step work, and lower standard pricing. That makes it a practical model to test for browser agents, QA flows, back-office automation, and anything that has to click through a real a…

26 Oct 2026, 09:00 UTC≈2,740 viewsread 12 November 2026

How OpenAI stores data for 1B ChatGPT users 🚀 OpenAI published part two of the storage work behind ChatGPT, Codex, and API workloads at billion-user scale. Habitat is the storage platform in the middle. It uses Azure Cosmos DB multi-tenancy, caching, and data placement so workloads can scale without every product team rebuilding its own persistence layer. What matters: • Multi-tenancy: isolate customer and worklo…

23 Oct 2026, 07:02 UTC≈2,540 viewsread 12 November 2026

OpenAI shipped the Decisions API 🚀 OpenAI's Decisions API is built for apps that need to react while work is still moving, not wait around for one giant model response. The practical shift is architectural: treat a model run as a stream of decisions your app can act on. UI updates, tool work, and state changes can happen as the task progresses. Why this matters: • Faster-feeling apps: show useful progress instead…

22 Oct 2026, 07:34 UTC≈2,450 viewsread 12 November 2026

GitHub is rebuilding Git storage for agent-scale work ⚡️ GitHub explained the storage work behind Git at agent scale. More coding agents means more branches, refs, fetches, pushes, and short-lived repositories hitting the platform at once. What changed: • Repository storage moved to Azure as part of the platform migration. • Per-reference write quorums help coordinate Git ref updates. • Virtual replicas backed by …

21 Oct 2026, 07:50 UTC≈2,310 viewsread 12 November 2026

Cloudflare is porting TypeScript to Rust ⚡️ Cloudflare introduced tsrs, a port of TypeScript to Rust. That name matters less than the direction. Language tooling sits on hot paths now: editors, CI checks, code generation, linters, and AI-assisted review. A faster implementation can reduce the wait developers feel dozens of times a day. • Compiler and analyzer speed changes whether people run checks locally. • Nati…

19 Oct 2026, 07:44 UTC≈2,520 viewsread 12 November 2026

Stack Overflow for Agents is plugged into ChatGPT 🚀 Stack Overflow for Agents shipped a ChatGPT plugin, and Stack Overflow says it tripled signups. This is the useful version of "put docs in an AI": a developer can pull trusted Q&A into the place where they are already writing, debugging, and asking for an explanation. Why this matters: • Fewer stale answers: agent output can be grounded in Stack Overflow content…

15 Oct 2026, 08:54 UTC≈3,000 viewsread 12 November 2026

Give LLM tasks a restart point 💡 Long agent prompts fail badly when the only recovery path is "start over." Split work into stages that produce an artifact your next call can inspect: a JSON plan, a file list, a patch, test output, or a short decision log. Store that artifact outside the chat context. Good loop: • Ask for a plan with explicit acceptance checks. • Run tools or tests yourself. • Send back the actua…

12 Oct 2026, 08:05 UTC≈3,370 viewsread 12 November 2026

Build the small model your project actually needs 🚀 Hugging Face published a practical look at ML Intern: start with a natural-language brief, then train, evaluate, and publish a small task-specific model. That is a useful counterweight to throwing every product problem at the largest hosted model you can afford. What the workflow targets: • Turn a project brief into a concrete ML task • Train and evaluate a focu…

9 Oct 2026, 07:21 UTC≈3,350 viewsread 12 November 2026

Claude Haiku 5.5 is available on the Claude Platform 🚀 Anthropic released Claude Haiku 5.5, its lower-cost small model, on the Claude Platform. The model ID is claude-haiku-5-5. This is the one to benchmark when your workload has lots of short agent turns: classification, extraction, routing, simple tool calls, and coding tasks where latency matters more than maximum reasoning depth. What to test first: • Replace…

8 Oct 2026, 07:09 UTC≈2,780 viewsread 12 November 2026

GPT-6 and Intelligent UI are rolling out 🚀 OpenAI announced GPT-6 for everyone, alongside its new Intelligent UI direction. This is worth watching even if you only ship API-backed apps. Model upgrades change what users expect from a product UI: fewer settings screens, more intent-driven actions, and interfaces that can adapt while the user works. For developers: • Keep your product actions explicit and observable…

Showing the 12 most recent of 52 posts we hold for @ProgrammingTip. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 1 registered channel — 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

TechLead Bits
@techleadbits · 539
#1
The Devs
@thedevs · 31,910
#2
iCodeNext
@icodenext · 2,957
#3
Linuxgram 🐧
@linuxgram · 72,399
#4
Computer Science and Programming
@computer_science_and_programming · 138,623
#5
🤖 Coding News ⚡️
@CodingNews · 22,634
#6
Abdesol Builds
@abdebuilds · 994
#7
DoughNut 🍩
@DoughNutDrops · 3,063
#8
Frectonz
@thefrectonz · 4,036
#9
Front End World
@front_end_first · 25,604
#10
Web Development
@webde · 31,405
#11
Dagmawi Babi Jobs
@DagmawiBabiJobs · 4,583
#12
Luna's pathway🤗
@Luna_moonmam · 6,543
#13
AWS DevOps Group
@awsdevsecops · 2,732
#14
Сохранёнки программиста
@prog_stuff · 6,453
#15
Chapi Dev Talks
@chapidevtalks · 10,465
#16
Tech Nerd
@selfmadecoder · 10,446
#17
Data1984
@data1984 · 780
#18
Ezedin Fedlu (Dark horse)
@D4RKH0R5E · 3,254
#19
FrontEnd Development
@fedevelopment · 28,450
#20
thisisnabi.dev [System Design]
@thisisnabi_dev · 2,391
#21
Learning With M
@learning_with_m · 2,286
#22
مسعود بیگی
@tondtech · 2,957
#23
Programmer Jokes
@programmerjokes · 106,012
#24
.NET Fun
@DotNetIsFun · 1,899
#25
Programming Tips Resources
@pgimg · 2,631
#26
Developer Advocate
@DeveloperAdvocate · 1,014 (as read 27 August 2026)
#27
Major John
@MajorJohn23 · 1,214
#28
Beka
@bekacru_c · 5,899
#29
.NET - On The Line
@dotnetontheline · 1,120
#30
کدهک
@codehaks · 1,775
#31
Debugging Epohul
@debuggingepohul · 1,907
#32
Moien Tajik 💭
@Moien_Tajik · 597 (as read 27 August 2026)
#33
egpet, the real one from egpet.net
@egpet_the_real_one · 1,007
#34
Masoud Bahrami Channel
@MasoudBahrami0 · 1,198
#35
Sabawi Technology
@sabawitech · 1,452
#36
🛑 Iranian🇮🇷Experts 🛑
@IranianExperts · 3,913
#37
Vee Security
@Vee_Security · 470
#38
باگتو
@bugeto · 1,735
#39
Software Philosophy
@SoftwarePhilosophy · 3,462
#40
کدسل
@codecell_ir · 229
#41
The Daily Momentum
@theDailyMomentum · 7,385
#42
امیرحسین پناهی‌فر
@ahplogs · 1,667
#43
CleverDevs
@CleverDevs · 11,302
#44
Master the Coding Interview
@Master_Coding_Interview · 30,285
#45
CyberSecurity Now
@CyberSecurity_Now · 737
#46
Top Companies Jobs
@worldwidejobsnow · 5,099
#47
Et marketing trainee support channel
@ETmarketingtrainee2023 · 1,108
#48
Go Casts | Systems & Agents 🚀
@gocasts · 10,565
#49
DevTwitter | توییت برنامه نویسی
@devtwitter · 33,489
#50
نوشته‌های ترمینالی
@terminal_stuff · 3,558
#51
Gaurav Sen - System Design Course Main
@GauravSenSystem · 3,076
#52
GenAi, Deep Learning and Computer Vision
@awesomedeeplearning · 2,933
#53
فرانت چپتر 🥕
@FrontChapter · 3,337
#54
مشروع السنة الدعوي - ١
@ff1ffyy · 564
#55
Natyiu Design
@designguru01 · 1,319
#56
مدرسه جودو استاد محمد عباس نژاد
@judoschool2 · 429
#57
Dagestan Alpine Club🏔
@Dagestan_Alpine_Club · 204
#58
سلاسل السنة الدعوي - ١
@selselah · 1,072
#59
Projects of HTML,CSS and JavaScript
@Projects_html_css_JavaScript · 971
#60
Ibex Technologies and Promotion
@ibexeth · 1,885
#61
باشگاه اسکای رانینگ سینرژی
@Synergytrail · 824
#62
🌍 WANDERLUST | Travel Guide
@wanderlustguide · 4,237
#63
Linuxor ?
@Linuxor · 34,338
#64
Iran Agile
@iranagile · 4,547
#65
Carnatic Music & Sampradaya Bhajans
@karsangit · 1,891
#66
Грокс Видео
@grokstv · 6,018
#67
منتورینگ مهاجرت کاری
@techImmigrantMentoring · 318
#68
Spotted DMI
@Spotted_DMI · 1,626
#69
ركنٌ شديد
@RoknSh · 533
#70
AGRICULTURE PREVIOUS EXAM PAPERS & NOTES
@agriexamsnotes · 4,282
#71
CAZZOLA
@cazzolarust · 2,633
#72
JobFarsi | جاب فارسی
@job_farsi · 8,747
#73

Read from Telegram’s recommendation API, most recently 27 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

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.

🤖 Coding News ⚡️
@CodingNews · 22,634
Telegram ranks this channel #6 of 68 here — alongside 67 others — read 19 September 2026
The Devs
@thedevs · 31,910
Telegram ranks this channel #16 of 82 here — alongside 81 others — read 5 September 2026
Aalsi Engineer Official
@aalsiengineer · 20,767
Telegram ranks this channel #21 of 48 here — alongside 47 others — read 24 September 2026
Web Development
@webde · 31,405
Telegram ranks this channel #31 of 84 here — alongside 83 others — read 5 September 2026
Front End World
@front_end_first · 25,604
Telegram ranks this channel #47 of 90 here — alongside 89 others — read 13 September 2026
بودكاست وعي
@podcastwaie · 85,687
Telegram ranks this channel #74 of 82 here — alongside 81 others — read 18 August 2026

This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Programming & AI Tips 💡” (@ProgrammingTip), 45,887 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ProgrammingTip.

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.