01Foundations
Agentic Engineering
From AI that autocompletes to AI that acts. The shift, the loop, what it can and can’t do yet.
Recorded + Live Q&A
A 12-part course for engineers who want to build production software with Claude Code.
What this is
Most teams have AI tools installed and nothing has changed. The copilots autocomplete, the chats answer, and the work still goes at the same pace it did before — sometimes slower. The problem isn’t the model. It’s the workflow around it.
This course is the workflow. Twelve hands-on sessions that take you from a coding agent that feels novel to one that quietly does real work in the background. Context, planning, specs, skills, subagents, MCP — all the pieces that turn a chatbot into a shipping teammate.
The agent does the typing. You still own the architecture.
What we cover
The syllabus
01 — 12
01Foundations
From AI that autocompletes to AI that acts. The shift, the loop, what it can and can’t do yet.
02Foundations
A terminal-native coding agent. Tools, edit modes, models, the agentic loop, slash commands.
03Foundations
Curate what the agent sees. Fill the window well. Bad runs are usually a context problem.
04Workflow
Plan → Execute → Verify. A repeatable loop for production-grade work with a paper trail.
05Workflow
The README for the agent. The one file every repo should have, and how to keep it healthy.
06Extensions
Reusable, named workflows the agent loads only when it needs them. Build once, reuse forever.
07Extensions
Specialist coworkers with their own context window. Delegate the noisy work, keep the main clean.
08Extensions
Lifecycle callbacks for the agent loop. Before-tool gates and after-tool notes — format, lint, block.
09Extensions
The USB-C of AI tools. One protocol to graft GitHub, Postgres, Sentry, Figma onto Claude.
10Production
Agree on what before how. OpenSpec, delta specs, four verbs in one loop.
11Production
Claude inside your repo. Triggered by issues, PRs, and CI failures — not just prompts.
12Production
N Claudes in isolated git worktrees. Three features in one afternoon. One reviewer: you.
Who it’s for
Who teaches it

Co-Founder & CEO of Klasio / FigLab
25+ years shipping production software, the last two on the front line of AI-augmented engineering. This course is the playbook I use myself, refined with engineering teams across three companies.
Newsletter
Real-world lessons from adopting AI agents in software teams. From my own workflow. Every other week. No fluff.