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GitFluence
Free
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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
No public pricing
Free: $0
AutoComplete Add-on: $6.67/mo/seat (annual) or $8/mo/seat (monthly)
No public pricing
No public pricing
Free trial available
No public pricing
Core features
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- ✦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
- ✦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)
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
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Use cases
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- →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)
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
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