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CodeGPT
Freemium
BYOK AI coding assistant for VS Code and JetBrains with agentic coding and autocomplete using your own API keys from 15+ providers.
👁 262K/mo
Pricing
Free: $0
AutoComplete Add-on: $6.67/mo/seat (annual) or $8/mo/seat (monthly)
Free: $0 /month
Popular: $9.99 /month
Enterprise: $49 /month
Open Source: $0
Free: $0
Premium: $10/contributor
No public pricing
Core features
- ✦BYOK: use your own API keys with 15+ AI providers
- ✦VS Code extension and JetBrains plugin
- ✦Agentic coding with planning for complex tasks
- ✦AI auto-complete for entire lines and blocks of code
- ✦MCP connections to APIs, docs, and databases
- ✦Local model support (Ollama, LM Studio)
- ✦Custom rules and live context tracking
- ✦Open source with privacy-first architecture
- ✦Seamless GitHub and Bitbucket Integration
- ✦LLM-Powered Reporting for features and bug fixes identification
- ✦Scheduled Notifications via email and Slack
- ✦AI Chat for team progress inquiries
- ✦Automated progress insights and development velocity metrics
- ✦Data-driven Performance Reviews
- ✦AI-Powered Retrospective Insights
- ✦Contribution and Work Quality Analytics
- ✦Operational Bottleneck Alerts
- ✦Gamification (XP, Levels, Achievements, Leaderboard)
- ✦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)
Use cases
- →AI-assisted coding inside VS Code or JetBrains IDEs
- →Handling complex multi-file coding tasks with agentic mode
- →Code generation, refactoring, and debugging
- →Using preferred cloud or local AI models with full cost control
- →Enterprise AI transformation via AI-First Services (voice and omnichannel agents)
- →Track pull requests and analyze commits to monitor team progress.
- →Generate automated email and Slack notifications for development updates.
- →Identify features and bug fixes from commit messages and pull request descriptions.
- →Receive intelligent summaries of team progress and development velocity metrics.
- →Understand team activity and project insights without deep technical knowledge.
- →Optimize engineering processes and track team performance.
- →Empower teams with actionable insights and gamified motivation.
- →Gain 360-degree visibility into engineering team performance for data-driven decisions.
- →Acquire, reactivate, and engage open-source contributors.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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