Claude can now help you build evaluations and hillclimb on them.
In this article, we share guidance on eval design & skills that Claude Code can use to improve your applications.
https://t.co/PgKFC2DWth
The most important thing about Sonnet 5.5 is that it's now the model that powers the free tier on https://t.co/f1IGIsU4Hc - so all of this stuff can be done by free users
ChatGPT's free tier is still GPT-5.6 Luna, which is a lot less capable
Today we're introducing updates that make Devin significantly cheaper. It's now:
▪️ 30–40% cheaper in Fusion and Normal
▪️ 15–20% cheaper in Ultra
▪️ Up to 70% cheaper in Devin Review
All while improving capabilities – Devin Fusion now ranks first on FrontierCode 1.1 Extended. https://t.co/zj0yXe8FJ8
Meet the winners of The WebMCP Challenge.
These 10 projects show what people and agents can build together when websites expose structured tools agents can use.
🧵 See the winning projects and the builders behind them: https://t.co/fynh6v6hCr
I've published detailed notes and an annotated transcript to accompany the video of the keynote I gave at @WeAreDevs World Congress North America in San Jose on Friday - here's my rundown of everything that's happened with LLMs and agents in 2026 so far https://t.co/iENa7bKmdF
Claude Sonnet 5.5 is now available in Devin Desktop and Devin CLI.
On FrontierCode 1.1 Main, it scores 64.4%, a significant improvement from Sonnet 5 (56.2%), surpassing Fable 5.1 at extra high reasoning effort. https://t.co/DBlp4p0VB7
Rive Editor 0.9 is live 🚀
Every feature planned for 1.0 is now in: keyboard and gamepad input, text fields, focus, accessibility, grid layouts, and free plan export.
Next up is stability, so build something real and send feedback 👀 https://t.co/WcyZXBwSY2
🆕 Claude Sonnet 5.5 is now generally available in @code with GitHub Copilot!
Built for everyday coding tasks, it matched Sonnet 5 in early testing while using fewer steps, tokens, and tool calls. ⚡️
Give it a try today! 🚀
🆕 @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
@WeAreDevs Here's how I define "Fable class models" - first Claude Fable 5, now Claude Opus 5.5 and GPT-Astra 6 and maybe GPT-5.6 Sol as well https://t.co/NHBcy0p2en
🎬 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
Build more pages that actually feel like they belong on your site. Your /design-system skill keeps the same styles, components, typography, and layouts across every new page. https://t.co/i7vVOSiFw4
What 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
Document 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
Model 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
@WeAreDevs And my closing thought on how this stuff impacts our lives as software engineers, with a quote from cycling champion Greg LeMond https://t.co/67kIOqlVIY
Parsing 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
🍽️ @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
JupyterLite 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
Faraday 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
Aisle 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
With 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
This 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
While 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
This week Greyscalegorilla tackles three everyday Cinema 4D headaches, Figma and Weave turn a trading-card design into a reusable workflow, and Andrew Price tests whether viral AI 3D demos survive contact with Blender.
It's Motion Mondays! Watch the full episode now ➡️ https://t.co/tGSyl8MXMe
💚 Site of the Day - Dmitrii Dark - Portfolio
Dmitrii Dark - @DarkThePsy
⚙️ ScrollTrigger, ScrollSmoother
🛠️ Astro
site → https://t.co/FSfKz7EIRt
showcase → https://t.co/zGjV9MynPN https://t.co/GM4jPFAg3h
Usman 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
Dear Upstairs Neighbors | Connie He
Sleepless nights. Noisy neighbors. An exhausted imagination running wild.
In her six minute animated short, Pixar alum Connie He turns the frustration of insomnia into a colorful, increasingly unhinged journey. Behind it: 27 storyboard versions and a collaboration between filmmakers and Google DeepMind researchers, using generative models fine tuned on the team’s own concept art.
For Motionographer® speaks with Connie about preserving comic timing, translating personal experience into production design, and helping artists and researchers understand what each needs to make a film.
A conversation about craft, control, and what happens when a machine learns the visual details its artists hadn’t thought to explain.
Read the full article:
https://t.co/baBJTAnkns
#DearUpstairsNeighbors #ConnieHe #Animation #MotionDesign #Filmmaking #mtngrphr #motionographer