What they do

Given a bug report or failing test, these agents attempt to reproduce the issue, trace through the codebase to find the root cause, and propose a patch — going beyond suggestion into autonomous investigation.

How they work

They typically loop between reading code, running tests, and reasoning about failures, iterating until the test suite passes or a fix hypothesis is confirmed.

Where they fit

Strongest on well-tested codebases with clear reproduction steps; weakest on flaky tests or bugs rooted in ambiguous product requirements rather than pure logic errors.

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