01 Person
AI-Native Engineer
A professional who uses agents as a normal part of the workflow to turn problems into software without outsourcing judgment.
- defines the problem
- gives context
- reviews and validates
100% free and open source
Software Engineering in the Age of AI
A practical guide for using AI in real software work, without hype and without panic.
Start learning Foundations
Three ideas before you start
02 System
AI agent
LLM* with instructions and tools, able to take steps, observe results, and adjust its next move within defined boundaries.
- uses tools
- follows goals
- needs boundaries
03 Specialization
Coding agent
An AI agent connected to a repository: it reads files, edits code, runs commands, executes tests, and returns reviewable diffs.
- works in the repo
- creates diffs
- does not replace review
Sessions
Glossary: vibe coding without the hype
What vibe coding is, which platforms turn prompts into apps, where it helps, and where it breaks.
Tools and models
Understand the difference between tools, products, and models so you can choose IDEs, CLIs, cloud agents, and LLMs with intent.
SDD and Harness Design
Turn intent into a verifiable contract and design the harness that lets agents work with enterprise-grade quality.
New
Hands-on Project
Done with theory? Build a project from scratch with your code agent and publish it to GitHub Pages. A practical guide that teaches the real agentic workflow.
Go to the hands-on project Skills
Share process with your agents
Learn what skills are, how they help teams keep good habits, and install a quality gate with one NPX command.
Explore skillsCommunity
Ask, answer, get unstuck
Use this space to ask questions about the session, share examples, and help other people understand the topic.