Agents, guardrails & review
Safe AI delivery
Using AI agents in real engineering work, in environments where mistakes are expensive: permissions, review and judgment.
What I believe
Safety in AI delivery is a permissions problem before it is an approval problem. Let the system decide what an agent can do, and spend human judgment where systems can’t. AI made code cheap; proving it’s right is now the job.
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More articles
All articles →2026
From my reading
All notes →- 📄 AI made developers faster. Is their judgment keeping up?The hollow orchestrator: approving more work each month without getting better at judging it.Brian Houck, Scott Carey
- 📄 Speeding up code review with 'small-change'Median PR review time rose from about 33 to 77 minutes as AI raised the number of PRs.Will Larson
- 📄 The Manager's Path in the age of AIAI improves visibility, not understanding; talk to people more, not less.Camille Fournier
- 📄 Elephants, goldfish and design docs as the real artifactDesign the doc in one long AI session, then test it on a fresh one.Dave Rensin
- 📄 How AI has changed my engineering leadership roleLeads should stay hands-on with small, high-leverage safety fixes.Bjorn Roche
- 📊 LeadDev Engineering Leadership Report 2026: the player-coach is backLeaders are more hands-on, mostly because AI makes contributing easier.LeadDev