Legacy reengineering: regain control of a monolith
When only two people remember how a system works, the business is at risk. AI SDLC can recover models and documentation from code.
The main pain of legacy systems is knowledge locked in people's heads. Documentation is missing or outdated, changes are risky, and onboarding takes months.
Step 1: code to models
LLMs analyze existing code and recover components, dependencies, API catalogs, data structures and key business rules. The system gets an explicit description for the first time.
Step 2: models to documentation
Recovered models generate architecture docs, API docs and user-facing documentation. The team can then evolve the system through artifacts, not guesswork.
Step 3: controlled evolution
- Dependency on a few experts is reduced
- Onboarding drops from months to days
- Changes become visible, testable and safer
Legacy stops being a black box. It becomes a system the team can understand, document and change.
Describe your idea, and AI SDLC will generate requirements, artifacts and documentation. Free to start.