How to Build Quality Gates into Agentic Coding Workflows

AI coding agents can now generate code at unprecedented speed. But faster code generation creates a new engineering problem: how do we know when agent-written code is actually safe, maintainable, and ready to merge? In this hands-on workshop, attendees will build an agentic coding workflow with enforceable code quality gates across planning, implementation, testing, and code review. By the end of the session, participants will have a working reference pattern for agentic software delivery: an AI-assisted workflow that can inspect a repo, implement a change, run tests, evaluate risk, respond to feedback, and surface what still requires human judgment. This is a technical enablement session for engineers building with AI coding agents, platform teams designing agentic SDLC workflows, and AI engineering leaders thinking about how to scale software quality with AI.