Why a Coding Agent Is Not the Same as a Debugging Agent

AI coding agents are getting very good at writing code.

But production debugging does not begin with code.

A coding task usually starts with a known objective:

Build this.

Change this.

Fix this.

A production incident starts differently: > Something is broken.

That means someone has to investigate.

What changed?

Where did the failure start?

Is this the cause or just a symptom?

Which logs, traces, metrics, or code changes actually matter?

A simplified workflow looks like this:

text
Signal
↓
Context
↓
Investigation
↓
Root Cause
↓
Fix
↓
Validation