Canary: a harm gate for agentic systems
Canary puts a small, auditable gate in front of agentic workflows so untrusted artifacts are classified before powerful agents act on them.
We are a team of researchers and engineers at GitHub, exploring things beyond the adjacent possible. We prototype tools and technologies that will change our craft. We identify new approaches to building healthy, productive software engineering teams.
Canary puts a small, auditable gate in front of agentic workflows so untrusted artifacts are classified before powerful agents act on them.
https://github.com/githubnext/repo-assist-impact/blob/main/report.md
What happens when a proactive AI repository agent is deployed across 13 open source repositories? 578 issues closed, median 8x increase in issue closure velocity, and 10x in PR merge velocity — transforming largely dormant projects into actively maintained ones. The single most important factor? The rate at which human maintainers decide to act.

A practical mental model for agents, workflows, and human-machine systems in agentic engineering.
Agents can power robust workflows by intelligently reacting to unexpected conditions, creating a new form of flexible resilience.
https://dsyme.net/2026/05/05/understanding-repositories-as-human-agent-knowledge-factories-%f0%9f%9a%80/
How do you maintain team velocity when AI-generated code needs cleanup? You have two choices: slow everyone down with more review hurdles, or let automated agentic processes clean things up after the fact. The second path is the key to velocity — and it’s now practical with repository automation.
tsb is a from-scratch TypeScript port of pandas, being built almost entirely by Autoloop — one iterative improvement at a time.
Ok, it’s not really a new site. But it’s an important refresh!
Glossy finished products are fun, but the real meat is hiding in the sketchbooks. Makers love to see the raw ideas, the struggle to make it work, and the tradeoffs made in service to shipping. Previously, we only had project pages, but we didn’t have a place to showcase those intermediate artifacts of our work.
Our new site makes it easy for any member of Next to share a learning, a screenshot, a thought, or a full-blown essay. It could be a tiny demo, or an update to an existing project. Working for the public good — and largely in the open — is one of the key perks we enjoy at Next. We’re looking forward to sharing more of our behind the scenes with you, without needing to fit everything into a tweet-shaped chunk of content.
Under the hood, we also wanted to transition to a static site framework like Astro for ease of maintenance. Shoutout to the Astro folks, it’s so good.
Enjoy the new site, we’re excited to share more with you!
https://dsyme.net/2026/04/20/lean-squad-automated-software-verification-with-near-zero-human-labour/
What if formal verification could be fully automated — from researching the codebase, to writing specifications, to proving theorems in Lean 4 — all with near-zero human involvement? Lean Squad is a GitHub Agentic Workflow that does exactly this. Applied to three real-world codebases, it produced over 1,200 machine-checked theorems and found real bugs in a drone autopilot.