Adoption labs

Prove agentic engineering on real work

Hands-on labs where your teams use agents, structured specifications, and validation workflows on real backlog items and real repositories.

Why labs

Generic training does not change delivery

Developers can learn features in a classroom. Organizations build confidence when teams apply the new way of working to their own systems, constraints, and delivery expectations.

Adoption labs are practical working sessions built around real engineering work.

What happens in a lab

Teams learn by doing

  1. Select real backlog items
  2. Convert intent into structured specifications
  3. Add the right context
  4. Use agents to support implementation
  5. Create tests and documentation
  6. Validate output against quality and architecture expectations
  7. Review the delivery flow
  8. Capture reusable patterns and improvements

What teams learn

Practical skills for the new delivery model

Use agents with better context.

Write useful specifications.

Break work into agent-friendly tasks.

Review generated output critically.

Use agents for tests, documentation, refactoring, and analysis.

Apply validation gates.

Collaborate as a team around agent-supported workflows.

Identify where human judgment matters most.

Deliverables

More than a workshop

  • Lab plan
  • Selected backlog scenarios
  • Facilitated team execution
  • Captured prompts and patterns
  • Delivery observations
  • Team maturity findings
  • Recommendations for next steps
  • Leadership summary

Run a lab on your own software

The best way to understand agentic engineering is to apply it to real work.

Run an adoption lab