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Engineering AI workflows

Engineering AI workflows bootcamp.

Two weeks for software engineering teams. Copilot, Cursor, agents and RAG, with a shipped project by the end of week two, not just reading about it.

  • Two weeks
  • Hands-on
  • Shipped project

What you get

Measured by code merged in week two.

On your codebase

Tooling, prompting and agent patterns on a real repo or sandbox.

Daily labs, reviewed

Instructor review every day, against ship criteria agreed up front.

Production habits

Evaluation harnesses and guardrails, not demo shortcuts.

Playbooks that stay

Handover documentation and team playbooks.

The problem

Engineers who read about AI but do not ship with it.

Self-serve tutorials do not change how your team works. This bootcamp is measured by code merged in week two.

Bootcamp structure

What the two weeks cover.

  • Week one: tooling, prompting and agent patterns on your codebase
  • Week two: a RAG or agent project scoped to your product
  • Evaluation harnesses and guardrails for production readiness
  • Handover documentation and team playbooks

How we work

How we run it.

  1. Step 1

    Access to a real repo or sandbox

  2. Step 2

    Daily labs with instructor review

  3. Step 3

    Ship criteria defined up front

What we use

Tools, platforms and methods.

  • Cursor
  • GitHub Copilot
  • LangChain
  • RAG
  • Evaluation suites

Plan a bootcamp.

Tell us about your team, your stack and what you'd want shipped by the end of week two.

Talk to an engineer