How to Build Quality Gates into Agentic Coding Workflows
Conference Context
- Date/time: 2026-06-29 · 11:05am-12:05pm
- Track/room: Workshops Day 1 · Track 7
- Speaker(s): Nnenna Ndukwe
- Session type/status: workshop · confirmed
- Track: Workshops Day 1
- Room: Track 7
- Session type: workshop
- Status: confirmed
Session Description
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.
Media Evidence
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Evidence Graph
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Transcript Status
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People
Notes
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Synthesis
Synthesized Breakdown
How to Build Quality Gates into Agentic Coding Workflows ## Conference Context - Date/time: 2026-06-29 · 11:05am-12:05pm - Track/room: Workshops Day 1 · Track 7 - Speaker(s): Nnenna Ndukwe - Session type/status: workshop · confirmed - Track: Workshops Day 1 - Room: Track 7 - Session type: workshop - Status: confirmed ## Session Description 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.
Speaker And Company Context
- Nnenna Ndukwe — Principal Developer Advocate and Software Engineer at Qodo AI.
Topics Covered
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
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