- Challenge
- The idea was commercially real. The path from that idea to a system a team could operate was not. Stakeholders disagreed on scope, and previous attempts had produced prototypes that could not be maintained.
- Approach
- We ran a short discovery to lock users, processes and constraints, wrote a specification the business could recognise, and agreed architecture before production engineering began.
- Technology
- Next.js, TypeScript, Node.js, PostgreSQL, automated CI/CD, cloud infrastructure.
- Solution
- A production web product with a clear domain model, role-based access, monitoring, and a delivery pipeline the team can keep using after launch.
- Outcome
- A system in production — not a demo — with an agreed backlog for the next release and ownership that does not depend on a single developer.
New products fail quietly when the first version is treated as an experiment that nobody has to operate. We treat the first production release as the beginning of a system: documented, testable, observable and possible to change.
AI assisted specification and implementation. It did not choose the data model, the security model or the release plan. Those stayed with engineers who will still be accountable when the novelty wears off.