Agents can write, review, and ship code — but how accountable can we be for systems we never fully scrutinize? This panel uncovers what it takes to let agents loose on production systems without losing sleep: permissions, observability, and the guardrails keeping it all from imploding.
Content from the Library
O11ycast Ep. #89, Software Is the Killer App for AI with Bryan Cantrill
On episode 89 of o11ycast, Ken Rimple and Charity Majors are joined by Bryan Cantrill. They dive into the origins of observability, the realities behind AI productivity gains, and the tension between cloud convenience and infrastructure control. The discussion highlights how major tech shifts often look obvious only in hindsight.
O11ycast Ep. #81, Observability 3.0-vNext-final-DRAFT with Hazel Weakly and Matt Klein
In episode 81 of o11ycast, Charity Majors and Martin Thwaites dive into a lively discussion with Hazel Weakly and Matt Klein on the evolving landscape of observability. The guests explore the concept of observability versioning, the challenges of cost and ROI, and the future of observability tools, including the potential convergence with AI and business intelligence.
How It's Tested Ep. #18, When Code Outruns Your Tests with Jake Schuenke and Kevin Clark
On episode 18 of How It's Tested, Eden Ful Goh speaks with Jake Schuenke and Kevin Clark of Phantom about scaling quality assurance in the age of AI. They explain why faster code generation demands better testing, review, and release processes. From AI-assisted triage to real-device testing, they share how their team balances speed with the trust users place in a crypto wallet.



