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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.

Google Antigravity logo
Google Antigravity
✓ verifiedFree

Google's agentic development platform and IDE for building software with autonomous, Gemini-powered coding agents.

22M visits/mo18K saves
Qoder logo
Qoder
✓ verifiedFreemium

Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.

2.7M visits/mo32K saves
PureCode AI logo
PureCode AI
✓ verifiedFree trial

Enterprise AI agent control plane that orchestrates coding agents across the SDLC on any model, deployable on-prem or air-gapped.

113K visits/mo
Claude logo
Claude
✓ verifiedFreemium

Anthropic's AI assistant for writing, coding, and analysis across web, mobile, and desktop, plus a developer API.

22M visits/mo231K saves
Reka Core logo
Reka Core
✓ verifiedPaid

AI research lab building multimodal 'omni' foundation models and infrastructure aimed at robotics and physical-world applications.

252K visits/mo
Pricing

No public pricing

No public pricing

Free trial available

No public pricing

Free trial available

Free: $0
Pro: $17/month billed annually ($200 up front), or $20/month
Max: From $100/month
Team: $20/seat/month billed annually ($25 monthly); premium seats $100/seat/month annually ($125 monthly)
Enterprise: Contact sales

No public pricing

Core features
  • Agent-first IDE experience
  • Autonomous planning and code execution
  • Integrated editor, terminal and browser control
  • Powered by Google's Gemini models
  • High-level developer supervision
  • 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
  • Orchestration of AI agents across the SDLC
  • Model-agnostic, bring-your-own-model support
  • On-prem, VPC, and air-gapped deployment
  • Hybrid Context Engine for codebase-scoped answers
  • Spec, Agent, and Chat modes
  • Reusable skills, tool permissions, and coding-standard rules
  • Conversational writing and editing
  • Code generation and debugging (Claude Code)
  • Data analysis and visualization
  • Web search plus memory across chats
  • Connectors and remote MCP integrations
  • Extended thinking for complex tasks
  • Omni multimodal model research and development
  • Real-time inference API (Infer) for enterprise use
  • Video tagging, search, and clipping infrastructure
  • Training data generation from egocentric and robotics footage
Use cases
  • Building apps with AI agents
  • Automating multi-step coding tasks
  • Prototyping and iterating on software
  • Assisting developers on complex work
  • Autonomous feature development in large codebases
  • Terminal-based AI pair programming
  • Cross-department task automation for legal, finance, HR
  • Onboarding developers to unfamiliar codebases
  • Migrating and modernizing legacy .NET code
  • Running autonomous feature and refactor workflows
  • Enforcing company coding standards across teams
  • Answering questions and debugging across large codebases
  • Drafting and refining written content
  • Building and debugging software
  • Analyzing datasets for insights
  • Research and learning support
  • Team and enterprise automation
  • Powering robotics perception with multimodal AI
  • Running large-scale video search and analysis via API
  • Sourcing specialized training data for frontier AI models
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