Agentic AI Coding: Claude, Gemini, Codex, OpenCode
AI that writes, debugs, and ships code. Daily updates on Claude, Codex, Gemini, plus Cursor, Windsurf, Devin, GitHub Copilot, Replit Agent, v0, Mentat, and OpenCode.
Show more📈 Analytical overview of Telegram channel Agentic AI Coding: Claude, Gemini, Codex, OpenCode
Channel Agentic AI Coding: Claude, Gemini, Codex, OpenCode (@ai_codin) in the English language segment is an active participant. Currently, the community unites 27 427 subscribers, ranking 7 139 in the Education category.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 27 427 subscribers.
According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 1 234 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 12.74%. Within the first 24 hours after publication, content typically collects 4.09% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 493 views. Within the first day, a publication typically gains 1 123 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“AI that writes, debugs, and ships code.
Daily updates on Claude, Codex, Gemini, plus Cursor, Windsurf, Devin, GitHub Copilot, Replit Agent, v0, Mentat, and OpenCode.”
Thanks to the high frequency of updates (latest data received on 27 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
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| Date | Subscriber Growth | Mentions | Channels | |
| 26 October | +13 | |||
| 25 October | +33 | |||
| 24 October | +23 | |||
| 23 October | +43 | |||
| 22 October | +27 | |||
| 21 October | +33 | |||
| 20 October | +88 | |||
| 19 October | +56 | |||
| 18 October | +23 | |||
| 17 October | +14 | |||
| 16 October | +22 | |||
| 15 October | +20 | |||
| 14 October | +21 | |||
| 13 October | +32 | |||
| 12 October | +58 | |||
| 11 October | +39 | |||
| 10 October | +24 | |||
| 09 October | +76 | |||
| 08 October | +132 | |||
| 07 October | +18 | |||
| 06 October | +14 | |||
| 05 October | +13 | |||
| 04 October | +27 | |||
| 03 October | +154 | |||
| 02 October | +111 | |||
| 01 October | +25 |
| 2 | 05_Project_RAG_Q&A_Application_on_Your_Private_Documents.zip | 3 448 |
| 3 | 04. LangChain and Google's Gemini Models.zip | 3 401 |
| 4 | 03. LangChain and Vector Stores.zip | 3 418 |
| 5 | 02. Deep Dive into LangChain.zip | 3 428 |
| 6 | 01. Introduction.zip | 3 460 |
| 7 | 🔅 Developing LLM Apps with LangChain
⏲ 4 hours 📁 41 Lessons
📔 This byte-sized course will teach you how to build state-of-the-art LLM-powered applications with LangChain, Pinecone, and Python! This is the perfect way to start learning about the world of AI application development.
🎙 Taught by: Andrei Dumitrescu
📤 Download Full Course 📤 Download All Courses | 3 425 |
| 8 | 05. Hooks | 4 496 |
| 9 | 04. MCP | 4 254 |
| 10 | 03. Skills | 4 104 |
| 11 | 02. Subagents | 3 857 |
| 12 | 01. The CLAUDEmd file | 3 459 |
| 13 | 🔢 Customizing Claude Code | 3 169 |
| 14 | 03. Code review | 3 284 |
| 15 | 02. Context management | 3 313 |
| 16 | 01. The explore → plan → code → commit workflow | 2 961 |
| 17 | 🔢 Daily Workflows | 2 900 |
| 18 | 02. Your first prompt | 2 932 |
| 19 | 01. Installing Claude Code | 3 206 |
| 20 | 🔢 Your First Prompt | 2 970 |
