From stack trace to a fix, opened for review
Vakt360 reads the symbolicated stack trace, the breadcrumbs and the code around the error, explains the likely cause, and opens a draft pull request with the fix. Then it watches your CI and the issue until it is genuinely resolved. You stay in control: nothing merges on its own.
Built for the moment something goes wrong
Root-cause analysis on every issue
The model reads the symbolicated exception, the frames with their surrounding source, the breadcrumbs and the request context, then returns a plain-language cause, the suspect files and lines ranked by likelihood, and a suggested fix.
A draft pull request, not just advice
Link a GitHub repository and Vakt360 pulls the suspected files, writes a patch and opens a clearly-labelled draft PR on its own branch. You review and merge, so a suggestion never touches main without you.
It watches CI and revises itself
The agent watches the checks on its own pull request. If they fail, it feeds the failures back into the model and pushes a corrected commit, so the change it hands you is one that actually builds and passes.
It confirms the fix held
After you merge, Vakt360 keeps an eye on the issue. If the error stays gone it resolves it for you; if it comes back it reopens it and flags the regression, so you know the fix was real.
Your model, or ours
Bring your own OpenAI, Azure OpenAI or Anthropic key and your event data goes only to your provider, or use the built-in model. Every event is treated as untrusted input, with prompt-injection defences in the analysis.
Try ai autofix on the free plan
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