Our monorepo CI took 40 minutes on a good day. This talk walks through how we cut it to 6 minutes with content-addressed caching, remote execution, and a test-selection model β including the twoβ¦
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migrations that failed first. You'll leave with a decision framework for which incremental-build investments pay off at which repo sizes, and the graphs to convince your platform team. This session now includes a live demo of remote build caching.
Code generation is easy; trusting it is hard. This session covers verification patterns for AI-generated code β property tests, mutation coverage, snapshot judges, and CI gates β with data from 18β¦
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months of running them on a 200-engineer codebase. Includes what we stopped doing because it didn't catch anything.
A 10-minute tour of turning a static docs site into one that answers questions with citations, stays honest when it doesn't know, and costs under $50/month to run. Live demo, real failure cases, andβ¦
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a checklist you can apply to your own docs this week.
A rapid-fire Q&A lightning session on running AI agents in production: what breaks, what monitoring catches it, and what to do when your agent confidently does the wrong thing in front of customers.
Day 1 β May 12: 9:00am-9:25amRoom: Main Stage
Speakers
Marcus OkaforStaff Developer AdvocateCloudreach Labs
Format: Lightning Talk (10 min)Track: AI Engineering