A 33,000-line legacy platform with no tests, migrated to a modern architecture: 9 modules, ≥ 80% test coverage and automated deployment.
Build software with AI, specifying before you code.
From where you start (as-is: the current system, or just the idea if you start from scratch) to the software you need (to-be): 7 phases and 27 deliverables: requirements, architecture, code, review, tests, deployment and monitoring. With any stack and any AI assistant.
Use on client projects included · Better the complete pack?
Four ways of working, one method.
The kit identifies your case and uses only the steps you need.
From idea to first deployment.
Without losing the business rules that only live in the code.
In an existing system, following its patterns.
A new, independent piece that joins your system without putting the rest at risk.
Real projects built with this method.
An AI training platform: three apps (athletes, coach and admin), API, watch app and payments.
A web and mobile app of about 31,000 lines and 264 tests, from requirements to code review with fixes.
The method creator's own projects. Timelines "without the method" are the author's estimates based on each project's scope.
What you get at each phase.
AI speed doesn't eat into quality.
- Phase 1 is completed for the whole scope before designing.
- No code without an approved build plan and test plan.
- Tests are written with each module, not afterwards.
- Continuous integration is set up before the first business module.
- In a modernization, the business rules of the existing system are preserved exactly, unless the business decides otherwise.
The language, framework, database and platform are chosen in your project's architecture decisions. The method assumes none of them.
Does the software come from a business process?
Start with Is2Be Process: its last step produces the briefing the requirements start from. That way the code solves the right problem.
For teams that already code with AI and want to do it right.
- Agencies and software factories. More margin on every project, the same quality across the team.
- Scaling startups. Scale the team without scaling the chaos.
- Freelance developers. Deliver like a team, working alone.
- IT teams with legacy systems. Modernize with less risk.