How to Build Quality Gates into Agentic Coding Workflows

Official Schedule Context

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.

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Pending transcript synthesis when an official recording or confirmed matching video is available.