Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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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
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Apify
✓ verifiedFreemium
Full-stack platform for web scraping, data extraction, and automation; category leader.
👁 4.4M/mo♥ 2.0K
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: $0/mo ($5 included usage)
Starter: $29/mo ($26/mo billed annually)
Scale: $199/mo ($179/mo billed annually)
Business: $999/mo ($899/mo billed annually)
Free trial available
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)
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- ✦Web scraping
- ✦Data extraction
- ✦Browser automation
- ✦AI agents
- ✦Anti-blocking
- ✦Proxy rotation
- ✦Open-source tools (Crawlee)
- ✦Ready-made tools and code templates
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
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- →Data for generative AI
- →Lead generation
- →Market research
- →Sentiment analysis
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