Programming
Finds and fixes coding errors with clear explanations and corrected code.
A focused coding agent for developers
Code Debugger is an AI agent built to find and fix coding errors with clear explanations and corrected code. It is built for developers, students, and technical builders who need to avoid patching symptoms instead of identifying the syntax, logic, and data-flow issue causing the error. Add code snippet or file, programming language, and description of the problem or error messages; the agent turns those inputs into issue diagnosis, corrected code, explanations, and verification steps. Run it once for a concrete coding task, then reuse the same slots for similar pull requests or assignments.
Start with code snippet or file. Then add programming language and description of the problem or error messages so the agent has enough context to produce issue diagnosis, corrected code, explanations, and verification steps.
Yes. That is one of the core outputs. More specific inputs produce more specific results.
It asks for the details most likely to change the answer, especially code snippet or file, programming language, and description of the problem or error messages. That prevents patching symptoms instead of identifying the syntax, logic, and data-flow issue causing the error.
Yes. The agent is designed to pair output with explanations, examples, tradeoffs, or tests so you can understand and verify the result.
Yes. Add your preferred format, examples, tools, or constraints in the slots, and the agent can shape the result around them.
Clarify code snippet or file, add missing constraints, and state what a good result should include. The next run will usually improve when the failure mode is explicit.