How to Build Quality Gates into Agentic Coding Workflows — Nnenna Ndukwe, Qodo AI
This workshop details how to implement structured quality gates into agentic coding workflows, moving beyond simple local testing. Using a sample FastAPI payments application (SignalPay), the speaker demonstrates a comprehensive process that integrates planning, local verification, and automated code review (PR review) using tools like Qodo/Codto. The core principle is operationalizing context—codifying standards, rules, and skills—to ensure AI agents adhere to defined quality and governance standards across the entire Software Development Life Cycle (SDLC).
Key takeaways
-
Structured AI Coding Workflow
6:49
A robust workflow requires defining and codifying code quality standards (rules) and expected behavior (skills) in a central context management layer, rather than relying solely on individual repository knowledge.
-
The Quality Gate Process
11:51
The process involves multiple gates: 1) Planning (creating high-level and build session execution plans); 2) Local Verification (using deterministic tools like linters, Pytest, Bandit); 3) PR Review (Codto/Qodo analysis); and 4) Remediation (using agent skills to automatically resolve identified issues).
-
Operationalizing Context
8:26
The system must ingest rules and skills from a central source (context management layer) to apply them consistently during planning, code generation, and code review, ensuring the agent is aware of all relevant constraints.