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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.

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✓ verifiedFreemium

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

775K visits/mo
21K visits/mo
Coder logo
Coder
✓ verifiedFreemium

Self-hosted cloud development environments and AI-agent governance, letting enterprises run coding agents on their own infrastructure.

208K visits/mo41 saves
Sherpa Coder logo
Sherpa Coder
✓ verifiedFree

VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.

11 visits/mo
Pricing

No public pricing

DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Community: $0 (open-source, self-hosted, unlimited workspaces)

Free trial available

No public pricing

Starter Plan: $ 59 USD per month
Pro Plan: $ 99 USD per month
Enterprice Plan: $ 199 USD per month
Starter Plan: $ 39 USD per month
Pro Plan: $ 79 USD per month
Enterprice Plan: $ 149 USD per month
Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • 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
  • Self-hosted workspaces with desktop and web IDEs
  • Coder Agents run coding agents on isolated infrastructure
  • AI Governance gateway for LLM usage control
  • SSO (OpenID Connect) and role/group sync
  • Audit logging and resource quotas
  • Multi-organization access controls
  • High availability and workspace proxies
  • in-editor chat with OpenAI assistants
  • workspace source-code context sharing
  • support for custom, user-defined assistants
  • secure management of the user's OpenAI account
  • Figma to code conversion
  • AI-powered automation
  • Human-in-the-loop validation
  • Support for Angular, Vue, React, and React Native
  • API integration
  • Component libraries
  • Code ownership
  • GIT synchronization
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • 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.
  • Standardize developer environments
  • Run AI coding agents securely on-prem
  • Enforce governance and compliance
  • Cut VDI costs
  • Speed up developer onboarding
  • getting coding help without switching out of VS Code
  • using a personalized OpenAI assistant tuned to a project
  • quick in-editor Q&A while writing code
  • Building enterprise applications rapidly from design to development.
  • Streamlining SaaS product development by translating designs into functional code.
  • Creating responsive digital experiences with adaptive interfaces.
  • Accelerating the creation of productivity apps from user-friendly designs.
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