GPT-6 Sol and GPT-6 Luna are available in the API and rolling out in Codex and ChatGPT Work for Plus, Pro, Business, and Enterprise users.
https://t.co/fv2OS3jEI3
GPT-6 Sol and GPT-6 Luna build on Astra’s alignment advances, showing improvements over the GPT-5.6 Sol and GPT-5.6 Luna models in our alignment evaluations.
https://t.co/zdJfhce2O0
On FrontierCode 1.1, our benchmark for real-world engineering tasks that grades mergeability and quality, Opus 5.5 scores 65.3% on Extended — taking the leading spot from Fable 5 at a fraction of the cost.
Read more: https://t.co/ELoIAbeica
🚀 @AnthropicAI's Claude Opus 5.5 is now generally available in GitHub Copilot.
Our early testing shows it stands out in efficiency, delivering task resolution comparable to Claude Opus 5 while using significantly fewer steps and tokens, with fast error recovery on multistep tasks.
Try it out for agentic coding, long-running agentic tasks, and knowledge work. Find it in the GitHub Copilot app, CLI, and @code.
https://t.co/tt9Pf4wAmv
The fastest PDF-to-Markdown parser just got faster. ⚡️
With LiteParse v2.14.6, text-based PDFs parse about 25% faster.
Across realistic documents, LiteParse processed pages at 2.8ms/page and 1.5× faster than the next-fastest local parser.
LiteParse is open source and runs locally in Python, Node.js, Rust, or directly in the browser.
Grab v2.14.6 → https://t.co/UJy6KQ1Dyi
Bench Docs → https://t.co/rVY3Cxyj8H
Just one engineer and a team of agents ported the GitHub Copilot agent runtime to Rust, shipping 800,000 lines of production code while retaining code quality. 🚀
How it worked 👇
https://t.co/wJ5qWMuGvV
On FrontierCode 1.1, our benchmark for real-world engineering tasks, Grok 4.7 scores slightly below Grok 4.6.
While strong on many hard tasks, it tends to over scope on others, leading it to trail behind Grok 4.6 in the aggregate.
Read more: https://t.co/PgginMwMNp
Grok 4.7 is now available in Devin.
On FrontierCode 1.1, Grok 4.7 scores 59.4% on Extended. In our evaluation, we see the model performs very well on hard backend engineering tasks. https://t.co/qbliTyU1Dt
🤖 Agent-First Development
From our VS Code Learn library, check out this in-depth tutorial. @madebygps demos how to work effectively with AI agents in VS Code, covering agent workflows, governance, debugging, execution environments, and hands-on application development. ▶️ https://t.co/TRFobFfE5G
With devin ssh, you can remote into Devin’s developer environment and use it as your own.
Explore and edit code directly, launch dev servers and forward ports to test Devin’s work, or scp files back from the VM to you. And when you’re done, you can /handoff back to your machine using the CLI.
Introducing Devin Cloud in Terminal and devin ssh: two new ways to use Devin's computer.
Create, steer, and resume Devin Cloud sessions right in your CLI with /cloud.
And for the first time, SSH into Devin's dedicated VM, then /handoff the work back to your own device.
Grounded Confidence is here for Extract! 🦙
When your agents and workflows depend on extracted data, you need to know how accurate that data is.
We’ve added confidence scores to give you a better read on extraction accuracy, field by field. Use them to decide which results your app can accept automatically and which need human review.
Available on Cost Effective, Agentic, and Agentic Plus.
Try it out on your docs -> https://t.co/v28mAfRAet