Untitled topic

AI coding agents are excellent at writing code, but surprisingly bad at debugging it. In most cases they add print statement, rerun the code and repeat until something works (or doesn’t)..

I built DebugMCP to let AI agents use actual debugging tools inside VS Code - set breakpoints, inspect variables and step through execution.

The idea is simple: give agents the same tools developers rely on.

In my experiments, this changes how bugs get fixed: instead of trial-and-error, the agent can follow the program state.

This is still early, and I’m trying to understand: - does this meaningfully improve real workflows? - what debugging capabilities are actually missing for agents?

Would love feedback, especially from people using Copilot / Claude / Cursor.

Repo: https://github.com/microsoft/DebugMCP