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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.

Augment Code logo
Augment Code
✓ verifiedPaid

Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.

544K visits/mo
HumanLayer logo
HumanLayer
✓ verifiedFreemium

AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.

197K visits/mo
Convex logo
Convex
✓ verifiedFreemium

TypeScript backend-as-a-service with a reactive database, server functions, auth and file storage for full-stack and AI apps.

692K visits/mo20K saves
Mito AI logo
Mito AI
✓ verifiedFreemium

Spreadsheet-style Python data tool inside Jupyter that generates code via AI so analysts and data scientists can skip hand-coding.

23K visits/mo
Pricing
Business: $100/mo flat (up to 50 seats, $100 usage included)

Free trial available

No public pricing

Free & Starter: $0/mo (pay-as-you-go, 1-6 developers)
Professional: $25/developer/mo
Business & Enterprise: $2,500/mo minimum

No public pricing

Core features
  • Context Engine for codebase understanding
  • Agents across the full SDLC
  • Model routing / bring-your-own-keys
  • Automated code review and test coverage
  • CLI, MCP and native tool integrations
  • Enterprise security (SOC 2, ISO 42001, SSO)
  • AI coding IDE with agent orchestration
  • Run and manage multiple agent sessions
  • Task, artifact and collaboration tools
  • Bring-your-own AI subscription or API keys
  • Cloud-scale agent execution
  • Reactive real-time database
  • TypeScript server functions (queries/mutations/actions)
  • Built-in authentication
  • Cron jobs and backend workflows
  • File storage, text and vector search
  • ACID transactions; open-source/self-host
  • Spreadsheet interface inside Jupyter notebooks
  • AI-generated Python code from spreadsheet actions
  • Runs on customer infrastructure (no data sent to Mito)
  • Bring-your-own LLM API keys
  • Excel-to-Python conversion
  • Compatible with existing Jupyter extensions
Use cases
  • Automating PR code review
  • Raising test coverage
  • Incident investigation and remediation
  • Large-scale migrations and onboarding
  • Shipping code faster with AI agents
  • Coordinating agent work across a team
  • Managing tasks and artifacts in one place
  • Running many parallel agent sessions
  • Building real-time reactive apps
  • Backends for AI agents
  • Replacing Firebase or Supabase
  • Full-stack TypeScript development
  • Analysts automating Excel-style reports without hand-writing code
  • Data scientists speeding up exploratory data analysis
  • ML engineers iterating on feature engineering in notebooks
  • Enterprises needing private, self-hosted AI coding assistance
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