Turn production incidents into reviewed fix PRs with you in control.
Connect a specific GitHub repo and your own AI provider key only for source-aware automation. Auralogs maps incidents back to source code and opens pull requests for review, while logging and MCP keep working without GitHub.
Keep logging and MCP investigation separate from source-code automation.
Use your own Anthropic or OpenAI key for analysis and fix generation.
Avoid duplicate work by tracking incident analysis and autofix state.
How it works
Start with structured logging, then choose how much agent automation you want on top of it.
Collect production evidence
Auralogs groups relevant errors, metadata, and recent events so the fix starts from real incident context.
Connect a specific repo
Authorize the GitHub App for the repository you select. You control which repo gets access.
Review the PR
Autofix opens a pull request with the proposed change, leaving final review, testing, and merge in your hands.
Questions you can answer
Auralogs keeps the raw logs, metadata, and analysis context close enough for humans and agents to use.
Generate a fix PR for this recurring high-severity error.
Explain why the proposed patch addresses the production logs.
Show me whether a PR already exists for this incident.
FAQ
Does autofix run without my approval?
Autofix creates pull requests for review. You still control code review, tests, and merging in GitHub.
Do I need autofix to use Auralogs?
No. You can use Auralogs for logging, dashboard search, REST access, and MCP investigation without connecting GitHub.
Which AI provider powers autofix?
Auralogs uses a bring-your-own-key model. You can configure Anthropic or OpenAI keys for generated analyses and autofix PRs.
Try it with your next error spike
Create a free project, send your first logs, and copy the MCP/API read key for your agent.
Start free