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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Angular.dev logo
Angular.dev
✓ verifiedFree

Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.

1.1M visits/mo
Workik logo
Workik
✓ verifiedFreemium

AI coding assistant that gathers project context to plan, generate, test and ship code across the SDLC via IDE and chat integrations.

210K visits/mo
CodeGPT logo
CodeGPT
✓ verifiedFreemium

IDE coding assistant for VS Code and JetBrains that uses your own API keys across 15+ model providers, with agentic mode and autocomplete.

262K visits/mo
Union Cloud logo
Union Cloud
✓ verifiedPaid

Cloud-agnostic AI/ML workflow orchestrator that runs pipelines inside a customer's own infrastructure for compute-heavy teams.

25K visits/mo
sshx logo
sshx
✓ verifiedFree

Open-source, encrypted web terminal sharing tool letting people collaborate live on one command line via a browser link.

26K visits/mo
Pricing

No public pricing

Trial: $0/month (20 AI requests on signup, 7 requests/day, 50 free flow runs, up to 3 users)
Starter: $15/month billed annually or $25/month (20M standard AI tokens, 1,000 flow runs)
Premium: $30/month billed annually or $50/month (40M standard + 4M advanced AI tokens, 3,000 flow runs)
Elite: $80/month billed annually or $150/month (100M standard + 10M advanced AI tokens, 10,000 flow runs)
Tailored: $62/month (custom AI token allocation)

Free trial available

Free: $0/mo (BYOK, 30 free interactions)
AutoComplete Add-on / BYOK Pro: $8/mo per seat ($6.67 annual)
Team: $950/month + usage (1,000 concurrent actions, 30-day retention, 1 cluster)

No public pricing

Core features
  • Signals-based fine-grained reactivity
  • Built-in control flow and deferrable views
  • Server-side rendering and hydration
  • First-party routing, forms and dependency injection
  • AI-forward tooling and MCP resources
  • In-browser tutorials and playground
  • Automatic context-gathering from connected engineering sources
  • AI-generated code, tests and pull requests from tickets
  • Task planning that breaks complex work into subtasks
  • Auto-updating engineering documentation
  • Vector search over embedded project data
  • Multiple selectable AI models (GPT, Gemini, Claude, Llama, etc.)
  • Engineering productivity analytics dashboard
  • BYOK access to 15+ model providers
  • Agentic planning-then-build mode
  • AI autocomplete
  • MCP connections to external systems
  • Custom rules and live context tracking
  • Local models via Ollama/LM Studio
  • VS Code and JetBrains plugins
  • Python-native dynamic workflow authoring
  • Automatic failure recovery, caching, and versioning
  • Zero Trust architecture keeping data inside customer's cloud
  • Real-time inference and agentic-AI workflow support
  • High-throughput scaling (tens of thousands of actions per run)
  • Local development environment matching production behavior
  • One-command installation and session sharing via link
  • End-to-end encryption so the server cannot read terminal data
  • Multiplayer infinite canvas for arranging multiple terminals
  • Live cursors and chat for real-time collaboration
  • Cross-platform CLI for macOS, Linux and Windows
  • Distributed mesh networking for low-latency global connections
Use cases
  • Building scalable single-page apps
  • Enterprise web application development
  • Performance-critical front ends
  • Learning modern web development
  • Engineering teams automating ticket-to-PR workflows
  • Developers wanting AI-assisted debugging and test generation
  • Engineering managers tracking AI-driven productivity gains
  • Teams centralizing documentation from scattered sources
  • Code generation, refactoring and debugging
  • Control AI spend with your own keys
  • Switch between frontier models per task
  • Keep code private and data-sovereign
  • ML teams orchestrating training and inference pipelines at scale
  • Biotech/geospatial companies needing GPU-heavy pipeline orchestration
  • Enterprises migrating off Airflow for ML workflow management
  • Teams requiring workflows that never send data outside their own cloud
  • Pair debugging a remote server with a teammate
  • Teaching command-line skills over a shared live session
  • Sharing a CI/CD pipeline terminal for troubleshooting on GitHub Actions
  • Providing temporary cloud access without exposing SSH credentials
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