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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
Pay-per-use cloud API to run, fine-tune, and deploy thousands of open-source and proprietary AI models with one line of code.
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
AI test-generation layer for engineering teams using coding agents, producing unit/API tests based on real production traffic.
No public pricing
Free trial available
No public pricing
No public pricing
Free trial available
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦One-line API calls to run community and proprietary AI models
- ✦Support for image, video, speech, and LLM generation models
- ✦Fine-tuning and custom model deployment via Cog
- ✦Per-second usage billing on shared or dedicated hardware
- ✦Automatic scaling for high-traffic private models
- ✦Thousands of community-published models with production APIs
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- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦Generates unit and API tests from real production traffic patterns
- ✦Self-healing test maintenance as code changes over time
- ✦Runs via a single CLI command locally or in CI
- ✦CoverBot to backfill test coverage on existing codebases
- ✦Automated code review comments posted directly on pull requests
- ✦Observability and monitoring for test and coverage trends
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Developers embedding image/video/speech generation into an app via API
- →Teams deploying and scaling their own fine-tuned models
- →Builders comparing outputs from multiple AI models in one playground
- →Companies avoiding GPU infrastructure management for ML inference
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- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →Catching regressions in PRs generated by AI coding agents
- →Backfilling test coverage on a legacy codebase
- →Monitoring API contracts for breaking changes
- →Safely refactoring code with an automated regression safety net