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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.

Ko'proq ko'rsatish

Tarmoq:Zero To MasteryMamlakat belgilanmaganTaʼlim7 139...

📈 Telegram kanali Agentic AI Coding: Claude, Gemini, Codex, OpenCode analitikasi

Agentic AI Coding: Claude, Gemini, Codex, OpenCode (@ai_codin) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 27 435 obunachidan iborat bo'lib, Taʼlim toifasida 7 139-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 27 435 obunachiga ega bo‘ldi.

26 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 1 234 ga, so‘nggi 24 soatda esa 11 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 12.74% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 4.09% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 3 493 marta ko‘riladi; birinchi sutkada odatda 1 123 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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.”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 27 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

27 435

Obunachilar

+1124 soatlar

+2497 kun

+1 23430 kun

3 493

Post ko'rishlar

~ 1 12324 soatlar

~ 1 41148 soatlar

12.74%

Muloqot nisbati

~ 1

Kuniga postlar

Ads index

beta

Postlar arxiv

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⭐️ 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?

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05_Project_RAG_Q&A_Application_on_Your_Private_Documents.zip241.49 MB

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04. LangChain and Google's Gemini Models.zip119.33 MB

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03. LangChain and Vector Stores.zip158.93 MB

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02. Deep Dive into LangChain.zip254.53 MB

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01. Introduction.zip18.32 MB

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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-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

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05. Hooks

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04. MCP

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03. Skills

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02. Subagents

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01. The CLAUDEmd file

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🔢 Customizing Claude Code

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03. Code review

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02. Context management

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01. The explore → plan → code → commit workflow

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🔢 Daily Workflows

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02. Your first prompt

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01. Installing Claude Code

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🔢 Your First Prompt