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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
AI code-generation tool creating tests, docs and refactors for developers.
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
No public pricing
No public pricing
Free trial available
No public pricing
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Code generation in 56 languages
- ✦Unit test generation
- ✦Code refactoring
- ✦Inline documentation creation
- ✦Bug detection
- ✦Code conversion between languages
- ✦Function creation
- ✦CSP generation
- ✦CSS style conversion
- ✦Debug statement addition
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Generating unit tests for existing codebases
- →Refactoring legacy code to modern practices
- →Creating inline documentation for better code understanding
- →Converting code from one language to another
- →Generating SQL queries based on requirements
- →Creating CI/CD pipelines for automated deployment
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output