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[ARTICLE · art-20009] src=github.com pub= topic=ai-agents verified=true sentiment=↑ positive

Show HN: Carto – structural intelligence for AI coding agents (OSS)

Carto, an open-source tool released under an MIT license, addresses the failure of AI coding agents on codebases larger than 10,000 lines of code by providing structural intelligence such as automatic domain mapping and blast radius analysis. The tool runs entirely locally to prevent data leaks and has been tested on large codebases including VS Code, Prisma, and Zed. By helping AI understand system dependencies before making changes, Carto aims to reduce errors like wrong-file edits and context overflow.

read1 min publishedJun 3, 2026

The 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.

Comments URL: [https://news.ycombinator.com/item?id=48380183](https://news.ycombinator.com/item?id=48380183)

Points: 1

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