We talked to hundreds of software teams about how they actually use AI coding agents.
What we found was surprising: most teams are simultaneously running autocomplete in one repo, letting agents build whole features in another, and running loops against their own infrastructure.
Archiving a repository on GitHub now automatically removes it from Codacy. No more read-only repos padding your metrics or queued for analysis they don't need.
Small but real operational win for leaders managing large repo estates.
Learn more: eu1.hubs.ly/H0xdslk0
The next leap in code review will come from knowledge bases. The more an agent knows about a specific team's decisions, patterns, and constraints, the better its work. Turning that institutional knowledge into something agents can act on is the cog building the future of code
While many teams bolt AI onto code review, Erik Jost's team at @blackbox_ns built a PR gate that's self-hardening:
Claude, Codex, Codacy, and GitHub Copilot review each PR in parallel. Then every repeatable fix becomes a new rule for future runs, unlocking a flywheel of speed
