The agent is already in your workflow. The failed build is where it goes blind.
AI coding agents have moved from novelty to daily tool. In Stack Overflow's 2025 Developer Survey, 84% of developers said they are using or planning to use AI tools in their development process, up from 76% the year before, and about one in seven professional developers now use AI agents at work every day. Among developers who have used agents at work, roughly 70% agree the agents have reduced the time they spend on specific tasks.
There is one place, though, where that agent still tends to go dark: the failed CI run. The pipeline turns red, and your agent (like you) is handed a wall of log output from jobs it did not write, covering steps it did not touch. It has to reconstruct what actually broke before it can fix anything. That reconstruction is the expensive part, and it is exactly the part Latchkey is built to remove.
This piece is about a clean division of labor. Latchkey's self-healing CI repairs the failures that are about your environment, not your code. For the failures that are genuinely about your code, Latchkey does not guess and patch on your behalf. Instead it hands your own coding agent a complete, structured account of the failure over the Model Context Protocol, so your agent can fix the bug with full context instead of starting from a log file.
