Five phases, clear owners.
Every phase shows what the engineer does, what the agent team does, and what the measurable outcome is.
Clarifying goals, users, risks and business metrics.
The engineer
Runs the workshop and maps the business goals and existing systems.
The agent team
Process the documentation, the existing code and relevant references.
Outcome
Clear goals and scope.
SpecificationSpecification
System design, architecture and feature list with measurable acceptance criteria.
The engineer
Makes the architectural decisions and signs off the specification.
The agent team
Draft the detailed specification, data model and test scenarios.
Outcome
Approved specification and schedule.
Agents working in parallel deliver the features, directed by the senior AI engineer.
The engineer
Splits the work, directs the agent team and decides at critical points.
The agent team
Implement, write tests, document and refactor.
Outcome
Working, tested features.
Quality assuranceQuality assurance
Engineering review, automated tests and security checks on every change.
The agent team
Run the tests, static analysis and security scans.
The engineer
Reviews every change and only lets through code that meets the standard.
Outcome
A verified, releasable version.
Deployment, documentation and full handover. Further development is optional.
The engineer
Oversees deployment and hands the system over to the client.
The agent team
Produce the operations and developer documentation.
Outcome
Live system, source code and documentation.