Your AI shipped a bug. Auralogs opens the fix PR.

How it works

Three steps from a production error to a pull request in your repo.

1. 1

   Install the SDK

   Add one of 8 SDKs and log errors with their stack traces. That alone gives you searchable logs, a dashboard, and read-only MCP access for your coding agent.

2. 2

   An error hits production

   Auralogs analyses the error and the logs around it with the Claude or OpenAI key you add in settings. You pay your provider directly for that usage.

3. 3

   A fix PR appears for you to review

   With one GitHub repo connected and autofix switched on, Auralogs reads the relevant source and opens a pull request when it is confident in the fix. Otherwise you get the analysis and no PR. You review, test, and merge.

What fix PRs need: a GitHub connection to the repo you choose, and your own Claude or OpenAI key. Logging, search, and MCP access work without either.

Also included

Fix PRs sit on top of a full structured logging pipeline. All of this works without connecting GitHub.

• Read-only MCP access

  Cursor, Claude Code, and Codex can query your production logs. Read keys are scoped to one project and cannot change settings or source code.

• Search and traces

  Full-text search with filters for level, environment, and trace ID. Follow one request or one user end to end.

• Live dashboard

  Log volume by level over time, so an error spike is visible as soon as it starts.

• Environments

  Tag logs as dev, staging, or prod and keep noisy dev output out of real incidents.

• 8 SDKs

  JavaScript, Python, Java, Swift, Go, Rust, C++, and Godot, with five log levels.

• Alerts

  Email alerts and webhooks when an incident is detected.

SDKs for the stacks you already ship

One import and one init call. Errors and structured logs go to Auralogs with the metadata you attach.

import { init, auralogs } from 'auralogs-sdk'

init({ apiKey: 'aura_...' })

auralogs.error('Payment failed', {
  userId: 'usr_123',
  error: 'card_declined',
})