---
title: "How to Build Quality Gates into Agentic Coding Workflows"
category: "talks"
date: "2026-06-29"
time: "11:05am-12:05pm"
track: "Workshops Day 1"
room: "Track 7"
speakers: ["Nnenna Ndukwe"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Workshops Day 1"
scheduleRoom: "Track 7"
scheduleLabels: ["Workshops Day 1", "Track 7", "workshop", "confirmed"]
---
# 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
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[nnenna-ndukwe]]

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

## 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|Nnenna Ndukwe]] — Principal Developer Advocate and Software Engineer at [[qodo-ai|Qodo AI]].

### Topics Covered
- [[agent-security]]
- [[coding-agents]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.