Ready for AI-assisted engineering
Coding assistants are only as good as their understanding of the code they're in. In a twenty-year-old codebase, that understanding doesn't exist yet. ARC builds it, then hands it to your agents.
Why assistants stall on legacy code
An assistant sees the files in its context window and guesses the rest. In a modern service with clear boundaries, the guess is usually right. In a legacy estate, where a field set on one screen drives a calculation in a stored procedure three layers away, the guess is where the bugs come from.
Give your agents the map
- One index of the whole estate. Syntax trees, call graphs and a two-tier embedding index, built once and kept current.
- An MCP server for your agents. Your coding agents query ARC for business rules, the code index, legacy source and the spec pack, with the same permissions as the person running them.
- Documentation that lives with the code. An engineering wiki and decision records generated from what the system actually does.
Or rebuild it to be agent-friendly
When the plan calls for a rebuild, ARC's own harness produces clean boundaries, typed interfaces, tests per story and architecture decision records. The new codebase is one your assistants can work in from day one.
The fastest way to make AI useful on old code is to stop asking it to guess.
What you get
Timelines depend on access to code and people; we confirm them on the scoping call.