


No. They do different things. GitHub CoPilot writes code. Kerno validates that the code works against your real infrastructure. Kerno integrates into GitHub CoPilot via MCP as a validation layer.
Through MCP. Install the Kerno CLI, run kerno mcp, and add the MCP server to GitHub CoPilot. GitHub CoPilot can then start environments, capture baselines, and validate changes through tool calls.
GitHub CoPilot can generate and run tests, but reliable integration tests against real infrastructure require significant setup. Kerno automates the entire API testing lifecycle and keeps the test suite in sync as your code evolves.
Kerno indexes your codebase, generates test scenarios, runs them against real databases and services in Docker, and flags breaking changes. Your AI agent gets the results via MCP and fixes what it broke in the same session.
KIT gives GitHub CoPilot a pre-built dependency graph of your codebase via MCP. Instead of reading files one by one, GitHub CoPilot queries the graph in a single tool call. 88-99% fewer tokens.
No. Once Kerno's MCP server is connected, GitHub CoPilot uses Kerno's tools automatically. You keep working the same way, but GitHub CoPilot now has an API testing loop before committing.