About This Session
The ticket said, “Make login faster.” The agent touched 47 files, invented three abstractions, briefly considered rewriting everything in Rust, passed the tests and disappeared into the night. Git knows what changed. Your tracker knows what you asked for. Everyone else is doing prompt archaeology and hoping the answer is not “the vibes were immaculate.” This session is about capturing that missing middle: the context, decisions, dead ends and evaluations behind agent-written code, connected all the way from intent to production. Because when the code ships, “LGTM” should not be the only surviving witness.
Topics
- AI Coding Assistants
- AI Models
- AI Standards
- Agentic AI
- Multi-Agent Systems
- Systems Programming