Bug fixing

Capy

Cloud coding-agent fleet for issue triage, code review, testing, and parallel engineering work

Kiro Autonomous Agent

Autonomous coding agent that plans, implements, tests, and opens pull requests across repositories.

SWE-Agent

Open-source agent that takes GitHub issues and attempts automated software fixes.

Zencoder

Coding agent for editing repositories, running workflows, and validating code in VS Code and JetBrains.

Zenflow

AI software development orchestration platform for specification-driven planning, coding, testing, and review.

Audit and fix bugs in an entire repo

This prompt tells a coding agent to map an entire repository, find bugs and security issues, and rank them by severity. It then fixes them with tests and writes up each fix. It works with any language or stack.

Find and Fix Python Bugs

Inspect Python code for bugs, explain each issue, and provide a corrected version.

System prompt for a coding agent fixing a repo issue

This prompt is a system prompt for a coding agent asked to fix an issue in an open-source repository. It lays out the work order: understand the issue, explore the code, plan, make small changes, debug, test, and confirm the fix. It comes from OpenAI's GPT-4.1 prompting guide and points to a /testbed folder you should swap for your repo path.

gstack OpenClaw Investigate

OpenClaw-oriented investigate workflow from gstack—public SKILL.md for ClawHub/OpenClaw agent use.

Investigate (gstack)

Investigates bugs and product issues with a structured evidence-gathering loop before proposing fixes.

Systematic debugging (Superpowers)

Applies a disciplined debugging process for bugs, test failures, and unexpected behavior before proposing fixes.

Find and fix bugs across a whole repository

Find and fix bugs in a Python snippet

Set up a coding agent to fix a repo issue