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AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
Jira-native tool that turns existing issues into customer roadmaps, release notes, and feedback portals without duplicate data entry.
AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
No public pricing
Free trial available
Free trial available
No public pricing
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Codebase-aware developer chat
- ✦AI code completions and inline edits
- ✦Customizable and shareable prompts
- ✦Automatic bug identification and debugging help
- ✦Context filters to exclude sensitive repos
- ✦Integrates with major code hosts and IDEs
- ✦Roadmaps synced live from Jira issues
- ✦AI-generated release notes
- ✦Customer feedback and idea portals
- ✦Audience-specific roadmap views
- ✦Password-protected or invite-only sharing
- ✦Publishing to Confluence and Slack
- ✦AI code review
- ✦Automatic engineering status updates
- ✦Agent that answers questions and takes action
- ✦Metrics on coding time and project focus
- ✦Pushed vs landed tracking
- ✦Commit and contributor insights
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Engineers asking questions about an unfamiliar large codebase
- →Teams standardizing common coding tasks with shared prompts
- →Developers debugging errors faster with AI-assisted context
- →Enterprises running large-scale code migrations
- →Sharing a public product roadmap with customers
- →Publishing release notes automatically from Jira tickets
- →Collecting and prioritizing customer feature requests
- →Giving executives a curated view of product progress
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics