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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.

21K visits/mo
1.7K saves
Continue logo
Continue
✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

775K visits/mo
Coddy - Code Makes Perfect logo
Coddy - Code Makes Perfect
✓ verifiedFreemium

Gamified platform to learn 20+ programming languages via interactive lessons, a browser playground and an AI tutor.

2.5M visits/mo2.0K saves
Apify logo
Apify
✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

4.4M visits/mo2.0K saves
Pricing
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month

No public pricing

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
  • Developer-first platform for AI-powered integrations
  • Secure, isolated sandboxes for running JavaScript/Python code
  • Automatic management of npm/PyPI dependencies
  • Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
  • Yep Agent (prompt → runnable processes)
  • MCP Server/Tools (convert code into AI agent tools)
  • Serverless runtime (YepCode Run) and SDK access
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Interactive lessons in 20+ languages
  • Browser playground to run code with no setup
  • AI tutor that explains and debugs code
  • Shareable completion certifications
  • Cheat sheets, docs and developer tools
  • Team/business training option
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
Use cases
  • Building complex API integrations that require custom code and logic beyond what no-code tools offer.
  • Safely running AI-generated scripts in isolated environments with secrets management.
  • Automating workflows that require large datasets, loops, branching, or custom dependencies.
  • Connecting AI agents to external databases, APIs, and services using MCP tools.
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Learning to code from scratch
  • Practicing a new programming language
  • Getting instant AI help while coding
  • Earning certificates to share
  • Onboarding and training engineering teams
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
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