Show HN: Carto – structural intelligence for AI coding agents (OSS)
github.comThe problem : AI agents fail systematically above 10k LOC. The failure mode are same wrong file, partial completion, tool thrashing, context overflow.
Carto fixes this by giving AI agents what they are missing - Domain Map (automatic, no config), blast radius before any change, cross domain violation detection, Agents md for instant codebase context, 16+ mcp tools etc.
AI knowing what could break before it start editing code. Feels like most tools are focus on generating code faster. Maybe the next step is helping AI understand systems better.
MIT licensed , Runs entirely local , No data leaks. Tested on codebase like VScode, prisma, zed and more ( having over 10k+ files)
If you have any questions or patterns or ideas lets discuss. There is so much more things that can be done with this coz this thing i made is not just related to programming languages if you u see it u can use it to parse many more types of works. One detail I would be curious about: how do you make the agent run auditable enough that another developer can understand why it chose a specific tool or edit path?