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AI Coding & Agents

Improve how you give agents context, break down tasks, test changes, and ship software.

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Page 31 of 32
627 posts · Page 31 of 32

September 21, 2026

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🎬 What makes VS Code feel fast, even in huge files? From custom rendering to keeping work off the UI thread, see the engineering decisions that helped make VS Code responsive. 🍿 Watch The Story of VS Code: https://t.co/TDXrZcDihs https://t.co/Z51mQtblkt

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Jev pod tomorrow subscribe on apple /youtube @latentspacepod thanks to @allenpark and Ke for making this happen! https://t.co/5kDekuLbuS

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September 20, 2026

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There's a lot of new vocabulary popping up in software development these days. The GitHub Podcast chats about some of the AI terms developers are learning right now. Grab your headphones 🎧 https://t.co/lP2Qyuzf4v

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September 19, 2026

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Yes or YES? Get your #GitHubUniverse pass 👇 https://t.co/5T6vSYTYtV https://t.co/U4cIioitY5

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Dropping this here for a little for what you could ship next. Explore the builds: https://t.co/uV75giwJaI

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We asked for your wildest 3D builds with GPT-6 Astra. You delivered. https://t.co/c0TLspdNnd

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September 18, 2026

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@typesafeai Read the full report on our blog ↓ https://t.co/fPsRMpJwfp

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Jev was adopted faster than any other model in AI Gateway history. In the first day, @typesafeai reached ~13% of teams, 2x the GPT-5.6 family and 6x Fable 5.1. https://t.co/kVEuLM1npu

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Personal, work, side project account, other side project account. Build across all of them. Multi-account support is now available across most plugins.

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Introducing the first in our Parsed by LlamaParse series. We're outlining the stakes of 'getting parsing wrong' in consequential documents. We’re starting with the U.S. Energy Information Administration’s September 2026 Short-Term Energy Outlook, a dense government report covering energy supply, demand, prices, and forecasts. Table 7a alone packs multiple years, quarters, row hierarchies, units, and footnotes into one electricity-industry table. Take 1,186. Parsed correctly, it means electricity sales to ultimate customers in Q3 2026, measured in billion kilowatthours. Parsed incorrectly, it could be assigned to the wrong quarter, metric, or unit , which means the error can flow straight into a dashboard, forecast, alert, or AI application. And the values aren’t the only thing that matters. Footnotes define the data too: “small-scale solar,” for example, refers to systems under one megawatt, not solar generation overall. LlamaParse preserves the structure and context that make document data usable downstream: whether you’re populating a database, updating a dashboard, running forecasting workflows, or building an AI app over complex documents. Source doc here: https://t.co/WOWZjpViNQ

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🎨 Customize your agents window with new background support! https://t.co/tysY6ggJto

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https://t.co/RfanOBxdHb

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September 17, 2026

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Get more visibility into your usage. See how tasks, subagents, and individual chats contribute to your Codex usage, so you can make more informed choices about your workflow.

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Explore usage analytics on the desktop app in Settings → Usage & billing (personal and Business) or Usage (eligible Enterprise accounts).

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Appshots 🤝 Windows Give ChatGPT context from the apps you’re working in and spend less time getting it up to speed. Debug an issue, grab a UI you want to recreate, pull in data from another app, and more. A lot less copying and pasting. https://t.co/zEbJIR5Q0L

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🐾 Last chance to name the VS Code pet! Today is the last day to submit your idea. 🏆 Winner: 1 month of GitHub Copilot Max ✨ Honorable mentions: VS Code swag 👉 Submit your name by 11:59 PM PT: https://t.co/BoKIn3Zfqd

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You handle the reps. Codex handles the repo. Talk to the voice agent in Codex, powered by GPT-Live-1.

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It was great to be at Connected Stack last week with founders and builders working on what’s next in enterprise AI. @jerryjliu0 joined the Founder Flash Talks to talk about a problem every enterprise agent eventually runs into: messy, complex documents that general-purpose models struggle to read. Agents are the new knowledge workers, and we are building the document infrastructure for agents. Thanks @trueventures and @GreylockVC for having us! 📸

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September 16, 2026

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⚡ Building the new GitHub Copilot Inline Suggestions Model From completions to next edits, see how we brought inline suggestions together in one model. 📖 Read the full story: https://t.co/OLFJaLYCvL

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