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Agentic AI Coding: Claude, Gemini, Codex, OpenCode

Agentic AI Coding: Claude, Gemini, Codex, OpenCode

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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.

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Zero To MasteryNetwork:Zero To MasteryThe country is not specifiedEducation7 139

📈 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.

27 427
Subscribers
+1124 hours
+2497 days
+1 23430 days

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Date
Subscriber Growth
Mentions
Channels
26 October+13
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Channel Posts
⭐️ If you want to get dangerously good at generative AI, then save these 10 GitHub repos: 1️⃣ Generative AI for Beginners → https://github.com/microsoft/generative-ai-for-beginners 2️⃣ LLM Course → https://github.com/mlabonne/llm-course 3️⃣ Build a Large Language Model From Scratch → https://github.com/rasbt/LLMs-from-scratch 4️⃣ Prompt Engineering Guide → https://github.com/dair-ai/Prompt-Engineering-Guide 5️⃣ Awesome LLM Apps → https://github.com/Shubhamsaboo/awesome-llm-apps 6️⃣ OpenAI Cookbook → https://github.com/openai/openai-cookbook 7️⃣ Hands-On Large Language Models → https://github.com/HandsOnLLM/Hands-On-Large-Language-Models 8️⃣ GenAI Agents → https://github.com/NirDiamant/GenAI_Agents 9️⃣ Awesome Generative AI Guide → https://github.com/aishwaryanr/awesome-generative-ai-guide 🔟 Anthropic Courses → https://github.com/anthropics/courses 💬 Anything else you'd add to this list?

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
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03. LangChain and Vector Stores.zip
3 418
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02. Deep Dive into LangChain.zip
3 428
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01. Introduction.zip
3 460
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🔅 Developing LLM Apps with LangChain ⏲ 4 hours 📁 41 Lessons 📔 This byte-sized course will teach you how to build state-of-
🔅 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
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05. Hooks
05. Hooks
4 496
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04. MCP
04. MCP
4 254
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03. Skills
03. Skills
4 104
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02. Subagents
02. Subagents
3 857
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01. The CLAUDEmd file
01. The CLAUDEmd file
3 459
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🔢 Customizing Claude Code
3 169
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03. Code review
03. Code review
3 284
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02. Context management
02. Context management
3 313
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01. The explore → plan → code → commit workflow
01. The explore → plan → code → commit workflow
2 961
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🔢 Daily Workflows
2 900
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02. Your first prompt
02. Your first prompt
2 932
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01. Installing Claude Code
01. Installing Claude Code
3 206
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🔢 Your First Prompt
2 970