Carto – Structural Code Intelligence for AI Agents

A developer tool that helps AI coding agents understand large codebases (10k+ LOC) by providing domain mapping, blast radius detection, and cross-domain violation detection. Prevents AI agents from making breaking changes and getting stuck.

AI coding agents hitting walls on large codebases is a documented, well-observed pain point right now — Cursor, Copilot, and Claude all degrade badly past a few thousand lines of context, and teams are actively hacking around this with manual chunking and retrieval pipelines. No clear incumbent owns the "structural codebase intelligence layer" specifically for agents, though tools like Sourcegraph and CodeLogic play in adjacent spaces for human developers. The $2k–15k/mo revenue band is plausible for a developer tool sold to engineering teams, but it requires landing mid-market or enterprise buyers, since individual devs rarely pay that kind of ticket — which means a longer sales cycle than most indie hackers plan for. The biggest risk is that the frontier model labs (Anthropic, OpenAI, Google) solve long-context reasoning and agentic planning well enough that the underlying problem evaporates before this gets traction, making the window narrow and the timing bet high-stakes.