A pipeline of people + agents
AI agents with separate roles: one diagnoses, one builds and one tries to break it. Every round leaves the evidence ready.
- +250% delivery throughput
- +60% productivity with AI
- −60% rework
- Request: a human opens it.
- AI qualifies it and suggests a priority.
- A human approves the prioritization.
- Business spec and prototype, generated by an agent in a standardized way.
- Human approval with stakeholders.
- A product engineer picks it up and writes the technical spec.
- Technical approval with an architect or a peer tech lead.
- Develops with an agent.
- Reviews with an agent.
- Tests with an agent.
- A human reviews the tested criteria and the business rules.
- A peer or lead reviews the code, with an agent and as a human.
- Atomic PRs from development to merge.
- CI/CD triggers.
- Monitors.
- Next delivery: the cycle starts again.