Dependabot pull requests are easy to review one at a time ... and tedious to review by the dozen.
Build a GitHub Copilot app automation that does the first pass for you. Once it reviews open Dependabot pull requests, groups them by risk, verifies CI status, it'll provide a short summary.
You write the instructions in plain language, so you can shape the automation to match how your team works. Schedule it before your workday starts and the results are ready when you log in.
Try it out 👇
https://t.co/d83HeLTV7h
Introducing Managed Deep Agents 0.8
✅ User-owned credentials + memory let agents work off correct permissions & user-specific context.
✅ HTTP channels for bringing agents into internal tools
✅ Native @slackhq file transfers
✅ Built-in web search via @p0
New in v2:
✅ Red Teaming: Engine identifies issues in your agent before they surface in production
✅ Validated Fixes: Engine tests its proposed fixes to confirm they work before showing them to users
✅ Improved Issue Identification: Engine now surfaces inefficient agent work and trends in key metrics like cost and latency
Next on the Interrupt main stage:
🎙️Building Jarvis: @jpmorgan’s Agent Building Assembly Line
🎙️How @useapolloio rearchitected a production GTM assistant w/ Deep Agents
🎙️Scaling Custom Agentic AI Across @Omnicom w/ @webershandwick + @focused_dot_io https://t.co/FhtAMfgkXM
Just announced at Interrupt: LangSmith Engine v2.
With Engine v2, you can proactively spot agent issues and resolve them before your users see them.
Your agents get better. You get back to building.
https://t.co/qCV4PV7C5l https://t.co/1DF66hoV1v
Accessibility is more than making a product usable.
It’s about helping every developer thrive.
🎬 The Story of VS Code: https://t.co/Q7cZIVj0d0
#vscode #storyofvscode https://t.co/QZA7ddBsCq
✨ One model. Three ways to edit your code.
The new 3-in-1 Inline Suggestions model brings completions, Next Edit Suggestions, and longer-distance edits together in one model.
📖 Learn how we built it: https://t.co/GGeD2554DC
Happy coding! 💙
