Migration: Legacy Codebase to AI-Ready
We restructure a messy monorepo so agents work well in it — module boundaries, type coverage, doc generation, test scaffolding, and spec generation from existing code.
- Outcome
- A phased restructure that agents can work in
- Timeline
- 3–6 months
- Pricing
- $150–500k+
- Buyer
- CTO at mid-market ($50M+ ARR)
The problem
Your monorepo grew organically for a decade. Agents thrash in it — fuzzy module boundaries, thin tests, no specs — so the AI-coding productivity everyone else is getting passes you by.
What we do
- Establish clean module boundaries and explicit interfaces, phase by phase.
- Backfill type coverage and a fast, trustworthy test suite.
- Generate docs and specs from existing code so agents start oriented.
- Sequence the migration so each phase ships value without a big-bang rewrite.
What you get
01A phased migration plan with value at every step
02Restructured boundaries, type coverage, and test scaffolding
03Generated specs and docs agents can use
04A codebase your team and your agents both move faster in
Built on our open source
openclawOS — An OS-like architecture for AI assistants — a kernel-based design with process-isolated apps.
Let’s scope it on a call
Thirty minutes with an engineer. We’ll tell you straight whether this is the right first move for your team.