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GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
Self-hosted cloud development environments and AI-agent governance, letting enterprises run coding agents on their own infrastructure.
Antidetect browser that isolates a unique fingerprint per profile, aimed at safe multi-accounting for marketing, ecommerce, and trading.
No public pricing
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)
- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- ✦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
- ✦Unique, isolated browser fingerprint per profile
- ✦Integrated high-anonymity proxy management (RoxyIP)
- ✦Window sync for simultaneous multi-account actions
- ✦AI agent that automates tasks across profiles via commands
- ✦Team workspaces with permission controls
- ✦API access for browser automation
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →Standardize developer environments
- →Run AI coding agents securely on-prem
- →Enforce governance and compliance
- →Cut VDI costs
- →Speed up developer onboarding
- →Running multiple social media or seller accounts without bans
- →Managing parallel ad, affiliate, or SEO campaigns per profile
- →Web scraping while avoiding IP-based blocking
- →Trading across multiple crypto exchange accounts safely