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AI Coding & Agents

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Page 29 of 32
627 posts · Page 29 of 32

September 23, 2026

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Bring your next project to life with Codex: https://t.co/Yhq6asiUnX

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GPT-Live-1 handles the conversation while the Raspberry Pi sends research and tool tasks to GPT-5.6 Luna via the Responses API. The Pi’s local renderer turns scenes into 128 × 64 pixels. Sid can keep talking while research and rendering happen in the background. https://t.co/mCJbi5AfxA

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➡️ Coming soon: Let's Learn GitHub Copilot SDK Starting September 24, we'll host beginner-friendly livestreams on how to build agentic applications with the GitHub Copilot SDK, without implementing the agent loop yourself. Includes sessions specifically for .NET and Java development. Sign up for English, Chinese, Portuguese, Spanish, Japanese, or Korean. https://t.co/dl62TnerXt

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Here's how we improved our agent harness: https://t.co/VzcB2yMqxU

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@latentspacepod https://t.co/oloSDxf0q7

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Should you review your AI-generated code? Is RAG over? Did Skills make MCP obsolete? The GitHub Podcast responds to these hot takes 👇 https://t.co/7cOBj3MtKW

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September 22, 2026

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GPT-6 Sol and Luna just landed in Astra’s orbit. Both launch today with API prices 50% lower than GPT-5.6. Build with Sol. Scale with Luna. To production and beyond. https://t.co/ZCEFp4JdjV

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Claude Opus 5.5 is now available in Cursor! It's the new top model on CursorBench at 57.8% (Max) and costs 40% less per task than Opus 5. https://t.co/TMeNqjClCo

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We’ve improved prompt caching in the API for GPT-6, helping agents run faster and cost less. Higher cache-hit rates by default mean more input tokens benefit from cached-input discounts of up to 90%. https://t.co/NZse8QKr8G

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GPT-6 Sol and Luna are now available in Devin. On FrontierCode 1.1, GPT-6 Sol matches GPT-5.6 Sol’s score at 61% lower cost per task. GPT-6 Luna scores above GPT-5.6 Luna at about a quarter of the cost. At under $0.10 per task, it is the cheapest model on the leaderboard. https://t.co/Mct0ZGxMO2

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Claude Opus 5.5 is now available in Devin. On FrontierCode 1.1, Opus 5.5 takes the #1 sport from Fable 5 at a fraction of the cost. https://t.co/QUhqpGjO9X

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Thanks to @cerebral_valley for co-hosting our GPT-6 hackathons in SF and NYC 🤝

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Get lost in your side projects. One builder at our GPT-6 hackathons brought real star maps and Astra to help you find your way home. https://t.co/D9lkBA7ar4

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Tune caching for your application: – Choose which prompt prefixes to reuse with explicit cache breakpoints. – Adjust reasoning effort and tool availability while preserving cached context. – Prewarm shared context so responses start sooner. https://t.co/ILhdJ9uWcZ

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See what’s being reused and what’s preventing cache hits. Track cache-hit rates in the new Prompt Caching Dashboard on https://t.co/9eDbe9PbGF. Use the diagnostics API to identify changes that prevented reuse and estimate how many tokens were affected. https://t.co/M16n4rG1Cl

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🚀 Claude Opus 5.5 is now available in VS Code with GitHub Copilot. Built for agentic coding, long-running tasks, and knowledge work. Give it a try today! https://t.co/CkQzmZUVPS https://t.co/b66z7s00qs

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🏃🏽‍♂️‍Agent Merge: Keep Your PR Moving in VS Code Discover Agent Merge (Experimental) in VS Code, a powerful way to keep your pull requests moving after they’re open. Let the agent handle review comments, failed checks, and merge conflicts, apply the necessary fixes, rerun builds and tests, and keep working until your PR is ready to merge. ➡️ https://t.co/9nQZZJ6SlP

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📣 @OpenAIDevs's GPT-6 family is expanding in GitHub Copilot with two additional models now generally available. ☀️ GPT-6 Sol: the balanced model for interactive and agentic coding. 🌕 GPT-6 Luna: a lightweight, cost-efficient model for smaller tasks and the lowest-cost option in the family. Try them in the GitHub Copilot app or @code. https://t.co/gyEGwnYxFT

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Try them out today in Devin Desktop and Devin CLI: https://t.co/y3humFMnN0

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In our evaluations, we see that GPT-6 Sol reads about 17% less context than GPT-5.6 Sol to reach the same score, and rarely leaves a repo with failing tests after its last edit. GPT-6 Luna’s biggest gains are at low and medium reasoning effort, where it writes real regression tests instead of mock-based ones. Read more: https://t.co/2pz6g4Agux

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