Using an AI Coding Agent to Debug and Fix Code

One of the most useful things an AI coding agent can do is debug code.

Generating a new function is one thing. Finding out why an existing application is throwing an error is another.

A real debugging task can involve multiple files, dependencies, configuration, terminal commands and tests. Simply asking an AI chatbot for a possible fix often leaves you with another question: does the fix actually work in the project?

An AI coding agent can handle more of that loop itself.

A typical workflow looks like:

Find the error → inspect the relevant code → identify the cause → make a change → run the application or tests → check the result → iterate

That's the kind of workflow we're building into Clixad.

Clixad is a cloud-based AI coding agent that runs in the terminal. It can inspect a project, read files, modify code, run commands, test changes and continue working when the first fix doesn't solve the problem.

For example, instead of copying an error message into a chatbot and manually applying its suggestion, you can give the coding agent the task and let it inspect the surrounding code.

This is particularly useful for problems such as:

bugs spanning multiple files
broken tests
dependency issues
incorrect configuration
runtime errors
regressions after a code change
unfamiliar codebases

The cloud-based setup also means the AI models don't have to run on your own machine. Users don't need their own API key or a powerful local GPU.

Clixad also doesn't require a monthly subscription. Users receive free credits and can earn additional credits through advertiser-funded offers, forms and surveys.

We've also made the five cheapest models free within their daily limits, which makes smaller debugging tasks possible without spending credits while you're within those limits.

AI coding agents aren't only useful for generating new code. Debugging is one of the areas where the ability to inspect a project, make changes, execute commands and verify the result becomes especially useful.

The important part is closing the loop between finding a problem and verifying the fix.