Hallucinations. Wrong turns. Logic that feels like the AI is on shrooms.
Your agent isn't the problem—your repo is just hostile.
The agent keeps suggesting functions that don't exist and apologizes for 10 turns.
It fixes one bug, but breaks three others it "forgot" were there.
You spend 40 minutes prompting just to explain where the database config is.
Most AI agent failures aren't "model" problems. They are "context" problems. You're asking the agent to navigate a maze without a map, while you hold the map in your head.
The agent spends 5 turns trying to find the right file. We build the map so it finds it in one.
The agent makes up a `make` target that doesn't exist. We build the interface so it knows exactly what's possible.
The agent pushes a "fix" that breaks the core API. We build the guardrail that stops the push until the test passes.
Stop paying your expensive engineers to act as "AI babysitters." We build the infrastructure that lets agents work autonomously.
A `CLAUDE.md` that actually works, preventing the agent from wandering into legacy folders.
A Makefile that turns "How do I run this?" into `make test`.
A pre-push hook system that blocks the agent from breaking prod.
Focused test tags so the agent doesn't have to run 10,000 tests for a 1-line change.
You can keep fighting the ghost in the machine, or you can turn the lights on.
We dive into your repo and find the friction points where your agents are currently failing. You get a "Hospitality Score" and a roadmap to fix it.
Request ScanWe do the work. We build the map, the interface, and the guardrails. Your repo becomes a sanctuary for AI productivity.
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