Self-Healing CI Fixes Your Environment. Your Coding Agent Fixes the Code.

Self-healing CI fixes your environment, while your coding agent repairs the code. AI coding agents have become a daily tool in software development. According to the 2025 Stack Overflow Developer Survey, 84% of developers are using or plan to use AI tools, up from 76% in the previous year. One in seven professional developers uses AI agents at work every day.

However, AI agents often struggle with failures in the CI (continuous integration) pipeline. When a build fails, the agent is given a wall of log output that it has to reconstruct to determine the cause and fix the problem. This reconstruction process is time-consuming and expensive, costing developers around 620 million hours annually and costing the industry around $61 billion.

Latchkey aims to divide labor cleanly and address only the failures related to the environment, not the code. For failures caused by environmental issues like flaky networks, full disks, memory kills, missing tools, or configuration drift, Latchkey detects the issue, diagnoses the cause, and applies a fix while the job is still running.

It targets transient and environmental failures, leaving real code defects untouched. When Latchkey cannot fix a failure confidently, it hands the problem to your AI coding agent over the Model Context Protocol (MCP), an open standard for connecting AI applications to external systems and data. MCP simplifies the handoff process, replacing a tangle of custom integrations with a single shared interface.

This allows your coding agent to receive a complete, structured account of the failure and propose a fix with full context, rather than starting from a noisy log file.