Qodo Quality-First AI Coding Workshop

This repo is the source of truth for a one-hour hands-on workshop on building a quality-first AI coding workflow with Qodo.

You will practice this loop:

plan -> read repo rules -> use repo skills -> write tests -> implement -> run local gates -> open PR -> Qodo review -> PR Resolver remediation

What You Are Building

This is a self-contained FastAPI payments API used to practice quality-first AI coding.

It has no separate frontend and no external service dependencies. You will interact with the app through FastAPI’s browser docs at /docs.

The goal is not to build a production payment system. The goal is to practice a repeatable workflow:

plan -> read repo rules -> write tests -> implement -> run local gates -> open PR -> review with Qodo -> resolve findings

What This Repo Is Teaching

This workshop is a small API wrapped in a quality system. Every directory is here to teach one part of quality-first AI coding:

• make the task explicit before code changes
• give the agent local standards it can read
• give the agent skills that describe how to work
• prove behavior with tests
• catch deterministic issues with static analysis and local gates
• use Qodo review as an independent review layer
• remediate findings and verify again

You can describe this as SDLC or ADLC quality control. The same standards show up before coding, during coding, and after coding:

Read the presenter-focused lesson in docs/07-workshop-teaching-guide.md.

Repository Structure