What AWS Taught Me About Automating Expert Judgment
Lessons from building AWS's intent-driven networking and network fabric controller teams, and what they teach us about automating expert judgment with AI.
David Lapsley's blog on AI infrastructure, agentic SDLC, distributed systems, and engineering leadership.
Lessons from building AWS's intent-driven networking and network fabric controller teams, and what they teach us about automating expert judgment with AI.
AI agents are finding 5-10 new Linux kernel vulnerabilities per day. The gap between discovery speed and patch speed is the new risk frontier for every CTO.
Red Hat mandated it in a leaked memo. Oracle cut 30,000 jobs to fund it. Anthropic's infrastructure buckled under it. The shift to agentic software development is no longer theoretical, and most engineering orgs are completely unprepared for what it means to lead through it.
The axios npm package was compromised with cross-platform RATs. Immediate action required if your codebase pulled axios@1.14.1 or axios@0.30.4.
Vibe coding sounds like architecture doesn't matter anymore. The opposite is true. When AI agents write the implementation, your architectural decisions get amplified, not eliminated.
Stanford published a study in Science: every major AI model endorses wrong choices at higher rates than humans. Users trust sycophantic models more, not less. Here's what that means if you're deploying AI in engineering or product contexts.
Anthropic accidentally published 3,000 internal documents to a public database — an AI safety company failing basic infosec hygiene. But the real story isn't the irony. It's what the leaked docs said about the model inside.
Linear's CEO declared issue tracking dead this week and pivoted the company to agentic AI. He's right - but the implication isn't that tickets go away. It's that the artifact upstream of the ticket becomes the new unit of engineering work.
AI agents can generate more code in an hour than a team can thoughtfully review in a day. The result isn't velocity — it's a new kind of technical debt that compounds faster than the old kind. Here's how to structure your way out of it.
I've spent the last month in back-to-back customer discovery conversations. The insights have been transformative. Here's why customer discovery is arguably the most important activity for early-stage startups, and a practical guide to doing it well.