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Self-hosted cloud development environments and AI-agent governance, letting enterprises run coding agents on their own infrastructure.
AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
CI reliability platform that auto-quarantines flaky tests and runs an intelligent GitHub merge queue for engineering teams.
No public pricing
Free trial available
No public pricing
Free trial available
Free trial available
Free trial available
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Self-hosted workspaces with desktop and web IDEs
- ✦Coder Agents run coding agents on isolated infrastructure
- ✦AI Governance gateway for LLM usage control
- ✦SSO (OpenID Connect) and role/group sync
- ✦Audit logging and resource quotas
- ✦Multi-organization access controls
- ✦High availability and workspace proxies
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦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
- ✦Automatic flaky test detection and quarantining
- ✦AI-powered failure analysis and duplicate detection
- ✦Anti-flake protection in the merge queue
- ✦Batching up to 100 PRs with auto-bisection on failure
- ✦Parallel merge queues for non-overlapping changes
- ✦Integrated ticketing with Linear/Jira and Slack alerts
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Standardize developer environments
- →Run AI coding agents securely on-prem
- →Enforce governance and compliance
- →Cut VDI costs
- →Speed up developer onboarding
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Eliminating flaky test re-runs that slow down CI
- →Managing high-volume PR merges in a monorepo
- →Getting visibility into which tests impact the most pull requests