Coding & agents𝕏
Cognition
@cognitionhttps://t.co/rqcBypIUZr
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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 24 of 32627 posts · Page 24 of 32
September 28, 2026
Coding & agents𝕏
GitHub
@github🆕 @AnthropicAI's Claude Sonnet 5.5 is now generally available in GitHub Copilot. Designed for well-scoped everyday work like building features and fixing bugs, Claude Sonnet 5.5 stood out for its efficiency in our early testing: It matched Sonnet 5 on coding tasks while using significantly fewer steps, tokens, and tool calls. Plus, it finished tasks noticeably faster. ⚡️ Try it out in the GitHub Copilot app, CLI, and @code. https://t.co/wZTQiZIEs7
Coding & agents𝕏
Visual Studio Code
@code🎬 How did VS Code make language support easier to build across editors? Explore the story behind language servers and the common protocol that helped shape the VS Code experience. 🍿 Watch The Story of VS Code: https://t.co/Q7cZIVisns https://t.co/S8mWSeYnBI
Coding & agents𝕏
LangChain
@LangChainWhat separates a simple agent from one that can reliably work through complex, long-running tasks? It comes down to the harness around the model: how the agent plans, manages context, uses tools, and breaks work into smaller steps. In our upcoming virtual workshop, we’ll walk through these patterns and give you a practical look at how Deep Agents are built. Choose the session that works best for your region: 🌍 EMEA: https://t.co/f2IO2pnKKL 🌏 APAC + ANZ: https://t.co/8YHpHNNcCw
Coding & agents𝕏
LlamaIndex 🦙
@llama_indexDocument parsing requires a lot of on-the-fly decision making. We explored the early approaches to Jev and Jev-like models on several documents tasks like orientation detection, language detection, routing, and more. https://t.co/U9urKwcORE
Coding & agents𝕏
Cognition
@cognitionModel independence lets us call the best model for each part of Devin’s work. We continue refining the harness around them by batching more work per call, running more actions in parallel, and making the most of cached context. Read how the latest models and harness improvements deliver better price-performance: https://t.co/K0NSmT4mEM
Coding & agents𝕏
LangChain
@LangChain🍽️ @wonder is building an agent that plans, orders and ensures delivery of all 21 of your weekly meals, while handling all customizations and customer service resolutions. With LangSmith, they swapped log debugging for LLM-as-judge scoring. A PM can file a bug and Claude Code fixes it from the trace. ⏯️ @ktech9999’s story
Coding & agents𝕏
OpenAI Developers
@OpenAIDevsJupyterLite WebMCP brings an agent into your live notebook to edit cells, run code and review changes together. Built by Allison Coleman and Juan Mendoza. https://t.co/GFlSqjhdqF https://t.co/WB7YEkKU3X
Coding & agents𝕏
LangChain
@LangChainProud to be a launch partner on @nvidia's new Open Agent Safety Platform.
Coding & agents𝕏
LangChain
@LangChainThis just in: @sydneyrunkle sat down with @jlowin and @zzstoatzz from @PrefectIO to talk about the new MCP spec + FastMCP, Jev, evals, and more! Give it a listen! https://t.co/MLnINAdPXL
Coding & agents𝕏
Cognition
@cognitionWhile the token prices for Sonnet 5.5 remain the same as Sonnet 5, Anthropic reports more than 30% faster output generation and up to 30% lower cost per task than Sonnet 5, with unchanged token pricing. https://t.co/YgOhlRTC21
Coding & agents𝕏
LlamaIndex 🦙
@llama_indexParsing forms still trips up the latest frontier VLMs. A form isn't text on a page. It's a set of fields, grouped into sections, each tied to a specific box. That's why forms need purpose-built parsing, not a bigger general model: ✅️ Detect every field, not just the obvious ones ✅️ Keep the hierarchy of sections and fields ✅️ Tie every value to the exact box it came from ✅️ Understand handwriting and checkmarks Our latest blogpost breaks down where VLMs fail on real W-2s, 1040s, W-9s and scanned W-4s, and a custom cookbook for LlamaParse to handle them at a fraction of the cost 👇 https://t.co/KPTrjhvuby
Coding & agents𝕏
OpenAI Developers
@OpenAIDevsFaraday by @thegreataxios lets an agent navigate 3D scans through WebMCP while the scan stays in the browser. Built for research and education. https://t.co/yTdVKmEwIb https://t.co/RlG4AhREyB
Coding & agents𝕏
OpenAI Developers
@OpenAIDevsAisle takes on the wedding seating puzzle with a WebMCP agent that respects guest relationships and pinned seats. Built by Eri Alipaj. https://t.co/dHlGPZVeh3 https://t.co/NlH64nlqQ2
Coding & agents𝕏
LangChain
@LangChainWith LangSmith Engine v2, you can: 1️⃣ Proactively detect issues before they appear in production with Red Teaming 2️⃣ Quickly resolve agent issues with fixes validated in your environment 3️⃣ Detect harder-to-spot issues like inefficient agent work and metric trends https://t.co/Qb5rsGEmlC
Coding & agents𝕏
Cognition
@cognitionTry it out today: https://t.co/y3humFLPXs
Coding & agents𝕏
LangChain
@LangChainUsman Javaid, Group Chief AI Officer at @orange is headlining Interrupt, The Agent Conference by LangChain. Catch his talk + more on October 13th. https://t.co/GCNitijjvm https://t.co/hw4M2qZYPk
Coding & agents𝕏
LangChain
@LangChainChoose the session that works best for your region: 🌍 EMEA: https://t.co/RQEVRXIyy5 🌏 APAC + ANZ: https://t.co/t3KIXr75J8
September 27, 2026
Coding & agents𝕏
GitHub
@githubDid you know? You can run agents in parallel in the GitHub Copilot app. Each session gets its own Git worktree and context, so you can build, review, and test all at the same time. Here's how to get started 👇 https://t.co/6Z1GGxYLOp https://t.co/r06OCfUvt1
September 26, 2026
Coding & agents𝕏
OpenAI Developers
@OpenAIDevs72 hours to OpenAI DevDay. We’ve been building. Time to show our work. https://t.co/JNbnxEKm5I
