Vibe Coder Expansion

You can already get AI to build things. This is how you turn what it builds into something real people can rely on — stable, secure, and launch-ready, no CS degree required. Spot where vibe-code breaks before your users do, make AI's output trustworthy (TDD, code review), close the security holes it quietly leaves, then ship and run it the way product teams do: release engineering, CI, observability, cost control. It's the in-the-job layer the free vendor academies — Anthropic Academy and the OpenAI Academy — never cover.

PART 0115:25 · foundational

Picking your battles

When to vibe, when to agent, when to write it yourself.

  • Decide if AI should touch this piece of code before it does.
  • Spot the seven ways a vibe-coding session goes off the rails — and recover.
  • Choose prompt vs workflow vs agent for any new piece of work.
PART 0225:35 · core

Talking to the model

Prompts, context, and the code shape that survives an agent.

  • The prompt anti-patterns Anthropic doesn't catalog.
  • Budget context for a real repo — no more "@file the world."
  • Refactor monoliths into shapes the model can actually hold.
PART 0322:01 · core

Trust & verification

How you know AI output is safe to ship.

  • AI-first TDD — tests are how you tell the agent what done looks like.
  • A code-review checklist tuned for AI-written diffs.
  • Catch the security mistakes the model loves to repeat, by language.
PART 041h 02m · advanced

Fleet reality

Running real agents in production — across vendors, at cost, under audit.

  • Long context vs RAG vs fine-tuning — the 2026 numbers.
  • Wire MCP into a database safely; expose tools without leaking the farm.
  • Tighten release, observability, secrets, and audit so a fleet stays alive.
// next step

Run the patterns on your real codebase

The modules above are the map. Pair them with a 1:1 session or a live class and walk out with the workflow already wired into your week.

// running fleets of agents at the manager / platform layer? see the Vibe Management track · experimenters only