What is Fume?
Fume is an advanced AI-powered code testing and review platform designed to enhance software development workflows. It provides comprehensive testing capabilities, including browser testing, unit testing, and custom test scripts, while understanding the full context of code changes.
The platform functions as a shadow engineering workforce, automatically testing edge cases for each pull request and offering multi-file, tested changes that can be implemented with a single click. It features integration with various development environments and includes screen recordings with reviews for enhanced visibility into the testing process.
Features
- Automated Testing: Comprehensive testing of edge cases for each PR
- Browser Testing: Dynamic testing with screen recording capabilities
- Code Review Scaling: Infinite scaling of code review capacity
- Actionable Feedback: Suggests tested, multi-file changes
- Full Codebase Understanding: Navigates through entire codebase context
- Custom Playbooks: Supports custom review guides and web recordings
- Multiple Integrations: Works with GitHub and various communication platforms
- Screen Recordings: Visual documentation of testing processes
Use Cases
- Automated code testing before merging
- Scaling code review processes
- Edge case detection in pull requests
- Browser-based testing validation
- Development workflow automation
- Quality assurance automation
FAQs
-
Is my code safe in Fume?
Yes, code safety is a priority for Fume, as indicated by the presence of this FAQ on their website. -
Is my code used for training?
This is addressed in Fume's FAQ section, indicating transparency about code usage policies. -
What kind of integrations are available?
Fume offers integration with GitHub, Slack, and various other platforms for seamless workflow incorporation. -
How is Fume different than Devin AI?
This comparison is specifically addressed in Fume's FAQ section to highlight their unique value proposition.
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Fume Uptime Monitor
Average Uptime
99.24%
Average Response Time
159.6 ms
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