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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

šŸ“ˆ 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 27 435 subscribers, ranking 7 139 in the Education category.

šŸ“Š Audience metrics and dynamics

Since its creation on невіГомо, the project has demonstrated rapid growth, gathering an audience of 27 435 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.

šŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
ā€œAI that writes, debugs, and ships code. Daily updates on Claude, Codex, Gemini, plus Cursor, Windsurf, Devin, GitHub Copilot, Replit Agent, v0, Mentat, and OpenCode.ā€

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.

27 435
Subscribers
+1124 hours
+2497 days
+1 23430 days
Posts Archive
ā­ļø If you want to get dangerously good at generative AI, then save these 10 GitHub repos: 1ļøāƒ£ Generative AI for Beginners → https://github.com/microsoft/generative-ai-for-beginners 2ļøāƒ£ LLM Course → https://github.com/mlabonne/llm-course 3ļøāƒ£ Build a Large Language Model From Scratch → https://github.com/rasbt/LLMs-from-scratch 4ļøāƒ£ Prompt Engineering Guide → https://github.com/dair-ai/Prompt-Engineering-Guide 5ļøāƒ£ Awesome LLM Apps → https://github.com/Shubhamsaboo/awesome-llm-apps 6ļøāƒ£ OpenAI Cookbook → https://github.com/openai/openai-cookbook 7ļøāƒ£ Hands-On Large Language Models → https://github.com/HandsOnLLM/Hands-On-Large-Language-Models 8ļøāƒ£ GenAI Agents → https://github.com/NirDiamant/GenAI_Agents 9ļøāƒ£ Awesome Generative AI Guide → https://github.com/aishwaryanr/awesome-generative-ai-guide šŸ”Ÿ Anthropic Courses → https://github.com/anthropics/courses šŸ’¬ Anything else you'd add to this list?

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šŸ”… Developing LLM Apps with LangChain ā² 4 hours šŸ“ 41 Lessons šŸ“” This byte-sized course will teach you how to build state-of-
šŸ”… Developing LLM Apps with LangChain ā² 4 hours šŸ“ 41 Lessons
šŸ“” 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.
šŸŽ™ Taught by: Andrei Dumitrescu šŸ“¤ Download Full Course šŸ“¤ Download All Courses

02. Subagents

01. The CLAUDEmd file

šŸ”¢ Customizing Claude Code

03. Code review

02. Context management

01. The explore → plan → code → commit workflow

šŸ”¢ Daily Workflows

02. Your first prompt

01. Installing Claude Code

šŸ”¢ Your First Prompt