About this course
A hands-on course on working with AI coding agents. Write specs agents can execute, review their output efficiently, set up project context and guardrails, and fit agents into a team’s real development workflow.
What you will be able to do
- Write specs and PRDs that agents can execute
- Set up project context, rules and permissions
- Review and test agent-written code efficiently
- Use agents for refactors, tests and migrations
- Roll out AI-assisted workflows to a team
Curriculum
01How coding agents work
- Context
- Tools
- Limits
02Spec-driven development
- PRDs
- Task breakdown
- Acceptance criteria
03Project setup
- Context files
- Rules
- Permissions
04Review & testing
- Diff review
- Test-first prompts
- CI gates
05Team adoption
- Workflows
- Security
- Measuring impact
Tools you will use
Prerequisites
- Working software engineer or advanced learner
Projects you will build
5 milestones
AI pull-request reviewer
A GitHub app that reads each pull request in context, flags real bugs and risky changes, and leaves inline comments a human would actually keep.
GitHub Apps · FastAPI · Tree-sitter Coming soon
5 milestones
Embedding a shopping assistant into a legacy e-commerce monolith
Take an existing store codebase from discovery to production: prototype a conversational shopping agent, harden it, then merge it into the monolith.
Pydantic AI · Groq · FastAPI Coming soon