Kaktoos
Engineering context and independent API verification
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Kaktoos - Engineering context and independent API verification

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Kaktoos helps AI coding agents understand what a change could affect — and independently verify it. Before a change, Kaktoos provides grounded engineering context around existing services, APIs, workflows, dependencies, and ownership through MCP. After a change, it analyzes the PR or commit, identifies potential impact, and runs existing API verification workflows to produce actual evidence. Understand before you change. Verify after you change.

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Hey everyone! 👋 I’ve been building Kaktoos as an open-source project to solve a problem I kept seeing with API integrations: something can return 200 OK while the actual system state is wrong. With v1.3.0, Kaktoos is expanding into engineering context + change impact for AI coding agents — helping them understand what already exists before making changes, then verify what could be affected afterward. I’m sharing it here mainly to get feedback from people actually building with AI coding agents. What would you want an AI coding agent to know before it changes an existing system? Any feedback, criticism, or real-world examples would be really useful 🙏