AI Coding & Agents
Improve how you give agents context, break down tasks, test changes, and ship software.
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Page 36 of 36September 18, 2026
Vercel
@vercelhttps://t.co/RfanOBxdHb
♡ 135 likes↻ 9 reposts↳ 37 replies
September 17, 2026
OpenAI Developers
@OpenAIDevsGet 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.
♡ 1.4K likes↻ 87 reposts↳ 138 replies
OpenAI Developers
@OpenAIDevsExplore usage analytics on the desktop app in Settings → Usage & billing (personal and Business) or Usage (eligible Enterprise accounts).
♡ 73 likes↻ 1 reposts↳ 17 replies
OpenAI Developers
@OpenAIDevsAppshots 🤝 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
♡ 1.4K likes↻ 87 reposts↳ 98 replies
OpenAI Developers
@OpenAIDevsALT ALT
♡ 67 likes↻ 0 reposts↳ 9 replies
Visual Studio Code
@code🐾 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
♡ 182 likes↻ 23 reposts↳ 18 replies
OpenAI Developers
@OpenAIDevsYou handle the reps. Codex handles the repo. Talk to the voice agent in Codex, powered by GPT-Live-1.
♡ 1.5K likes↻ 71 reposts↳ 91 replies
LlamaIndex 🦙
@llama_indexIt 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! 📸
♡ 19 likes↻ 5 reposts↳ 9 replies
September 16, 2026
Visual Studio Code
@code⚡ 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
♡ 197 likes↻ 20 reposts↳ 9 replies
Visual Studio Code
@code🔔 See when an agent session needs your attention without switching back to VS Code. Enable ⚙️ sessions showApplicationBadge to get a badge for new results, input requests, or pull request checks that need attention. (Preview) https://t.co/2TBir61LkB
♡ 9 likes↻ 0 reposts↳ 1 replies
Visual Studio Code
@code🔎 Explore everything that's new in the full release notes: https://t.co/1oLh8z0ZXn Happy coding! 💙
♡ 6 likes↻ 0 reposts↳ 0 replies
Visual Studio Code
@code🚀 The latest @code release brings new ways to work with agents, move between environments, and keep your sessions organized. 🧵 Here’s what’s new: https://t.co/1oLh8z0ZXn https://t.co/LxiTJQ1Ikx
♡ 334 likes↻ 43 reposts↳ 15 replies
LlamaIndex 🦙
@llama_indexReady to learn how to build document processing pipelines for insurance agents? Join LlamaIndex Solutions Architect Abrar Mahi for a webinar on turning insurance documents into structured data for underwriting, policy review, and claims workflows. Using LlamaParse and Extract, we’ll cover: ✅️ Parsing complex accord forms, policy documents and other popular document types in the insurance industry. ✅️ Extracting policy details, property information, and claims history into a defined schema. ✅️ Verifying extracted values with citations and bounding boxes. ✅️ Combining confidence scores with validation rules to decide what proceeds automatically and what needs human review. We’ll bring these steps together in a working pipeline you can adapt to your own workflows. Register: https://t.co/kkP8Kk8fNo
♡ 16 likes↻ 4 reposts↳ 5 replies
September 15, 2026
Vercel
@vercelExperts can turn their knowledge into a digital mind @withdelphi. Their Python backend runs on Vercel. The team is 10 engineers with no dedicated infrastructure role. • Long-running agents on Vercel Workflows • Background jobs on Vercel Queues • 100+ production deploys a day https://t.co/Vm6bQNXclG
♡ 83 likes↻ 6 reposts↳ 55 replies
LlamaIndex 🦙
@llama_indexkeeping our SDKs up to date can be a pain. every API change brings another round of updates, tests, and releases. and each SDK should still feel like it was written by someone who actually uses the language. Stainless helped us do that for LlamaParse. It also pushed us to improve the API itself. inconsistent names and schemas become harder to ignore when they show up in the code developers use. with the Stainless team joining Anthropic, George He and Yong Park wrote about what worked, what we learned, and why changing SDK generators takes more care than you might expect. -> https://t.co/D5gGCS6I2p thanks to the Stainless team for saving us a lot of SDK work. 👋 au revoir, Stainless
♡ 15 likes↻ 3 reposts↳ 3 replies
September 14, 2026
LlamaIndex 🦙
@llama_indexjust-in-time OCR is all the rage. most pipelines parse every page before anyone asks a question. for an agent working through an ad-hoc data room, that's slow, expensive, and most of those pages never get read. the better pattern is just-in-time OCR in two passes: ✅️ LiteParse (free, OSS, Rust, 50+ formats) does a fast layout-aware first pass: spatial text, bounding boxes, headings, tables, and a per-page complexity flag. a full data room in 32 seconds. ✅️ LlamaParse zooms in on only the pages that need it, by page number, and returns cell-level tables, bounding boxes, and confidence scores. the rest fills in the background. pypdf and pdftotext can't do the first pass well. parsing everything up front can't do it cheaply. two passes gets you both. full breakdown with numbers: https://t.co/z8HWokXatj
♡ 83 likes↻ 11 reposts↳ 21 replies




