Magic develops code models intended to automate software engineering and research.
Maige
Maige offers AI powered actions for codebases through an intelligent codebase copilot.
About Maige
Maige runs text-based workflows on a connected codebase repository. Users connect a repo and write rules in natural language describing what should happen when issues and pull requests are opened.
On connection, it creates a webhook, embeddings of the codebase, and a sandbox environment. It can label, assign, comment, review code, and run simple code snippets, with runs monitored in a dashboard. It works with the GitHub API.
Key features
- Label issues automatically based on text rules
- Assign issues to specified users
- Comment on issues and pull requests
- Review pull requests per custom instructions
- Run simple code snippets in sandbox environment
- Monitor runs and provide feedback in dashboard
Best for: Developers and maintainers who handle GitHub issues and pull requests and want rule-based automation.
Good for
- Rules are defined in plain text
- Covers labeling, assignment, commenting, and code review
- Includes dashboard for monitoring runs
Watch out for
- Enterprise plan is listed as coming soon
Maige at a glance
- Website
- maige.app
- Category
- AI & Machine Learning › AI Coding Tools
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Maige FAQ
What happens when I connect a repository?
Maige creates a webhook, embeddings of the entire codebase, and a sandbox environment.
How do I define automation?
Write rules in text describing what should happen when issues and pull requests are opened, such as labeling, assignment, commenting, review, or running simple code snippets.
How do I track activity?
Runs can be monitored and feedback can be provided in the dashboard.
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