What an AI debug engineer actually does
5 min read
An AI debug engineer reads the visit and the commit that was live, then can open a pull request. It does not merge, and it does not guess from a paste.

An AI debug engineer reads a recorded visit and the code that was live, writes a reason you can check, and can open a pull request on a new branch. It does not merge. It does not push to the default branch. It does not comment on the request. It does not write to your database. You review the diff. You decide when it ships.
Bugwalk is that engineer for your app. It is not a chat box you paste a stack trace into. The visit is already there: what the person did, what the app did, and the error. The report cites an event id or a file and a line. A finding with no citation is marked, on purpose. Low confidence is shown, with the reason.
It starts from the visit
You press Run investigation on a session or on an issue. A session investigation explains that one visit. An issue investigation explains the group of errors that share a fingerprint. While it runs, it is reading the timeline and your code. The docs say that usually takes under a minute. Investigate again starts a new run. A follow-up question stays on the report you already have.
What it reads is specific. That person’s timeline. Other visits that look the same. The repositories connected to the project. It can search log text and search code, then read the matching lines at the commit your release reported. Connect at least one repository before you expect a line. Set BUGWALK_RELEASE to the commit SHA in the build, or the line may belong to a later file. That trap is you debugged the code on your screen.
Say the visit is a checkout. The person applied a coupon the discount table does not know. The click, the request, and the throw are on one timeline. The engineer does not need you to retell it. The retelling is how a chatbot loses the request body, the status, and the commit, and then answers anyway.

It writes a change, then stops
An investigation only reads. It cannot change your database. A separate step can pull the repositories you chose, run their tests, and open a pull request on a new branch when the report qualifies and the monthly allowance remains. A member can ask for that from the report after the allowance is used. Overview lists each pull request with the issue, the people who hit it, and whether the failure was in the web app or the API.
Open the request to read the diff and the tool calls. Both are stored with the request. The diff is the claim, in code. If you cannot see why this edit answers this visit, do not merge it. The point of the citation is that you can check. A clean diff is not the same thing as a true one.
Nothing merges until you say so. The pull request is the work. The merge is the decision.
What it will not do
It will not push to the default branch. It will not comment on the pull request. It will not merge. It will not write to your database or change production because a report sounded sure. Access is the GitHub App, on the repositories you grant. Uninstalling the app revokes it. You can disconnect a repository from the project.
It will not invent certainty. Low confidence stays on the report, with the reason. A finding without an event id or a file and a line is marked as uncited. A run that fails before it finishes is not charged. Each finished investigation counts toward the monthly number on your plan. Pro includes 100. Team includes 1,000. The count is on Project, Usage. The agent has to be switched on for the workspace. If the button is disabled, that is why.

How this differs from a chatbot
A chatbot answers the message you typed. If you paste a stack trace and a hunch, it answers the hunch. It never saw the person, the page, or the commit. It can still produce a patch, because producing a patch is not the same as having a visit. The stack trace is not the bug. Pasting it into a chat does not add the missing pieces. It hides that they are missing.
A coding assistant in the editor is working on the buffer you have open. That buffer may be the wrong generation of the file, as in the note on the version that was live. It also does not know that a particular person hit this line at 16:04, after this click, with this request. You can tell it. You will tell it incompletely. The recorded visit does not forget the request.
Bugwalk starts from events you already collected, at a commit you already shipped, and stops at a pull request you have not merged. The investigation page is the precise version of these limits. If you want the price of a finished run, it is on pricing.
What you still review
Review the visit first if the report feels too sure. The headline, the confidence, what happened, the root cause, and the findings: each finding should point at an event or a line. If it does not, believe the mark that says so. A report that skips the click and starts at the file is a chatbot with a nicer layout. Send it back to the visit. The visit is the part you could not have pasted.
Then review the diff. Does it change the line that failed, or a convenient neighbor? Do the tests it ran cover that path? Would you ship this if a teammate opened it? The engineer saved you the reconstruction. It did not save you the judgment. That is the job that should remain.
Questions
What does an AI debug engineer do?
It reads a person’s visit and the commit that was live, writes a report that cites an event or a file and a line, and can open a pull request on a new branch. It does not merge, comment, push to the default branch, or write to your database.
How is that different from pasting a stack trace into a chatbot?
A chatbot answers the text you pasted. It did not see the page, the click, the request, or the deployed commit. Bugwalk already has that visit, and the report has to cite evidence. Low confidence is shown instead of papered over.
Do you still review the change?
Yes. The pull request is the work. The merge is yours. Read the diff and the tool calls stored with the request. A clean diff is not automatically a true one.