Amp vs Continue.dev
Detailed side-by-side comparison to help you choose the right tool
Amp
AI coding assistant
Amp is Sourcegraph’s bet on a more agentic coding workflow, and the current product messaging makes that obvious. The homepage now calls it a "frontier coding agent" rather than a simple assistant, highlights a rebuilt CLI, emphasizes long responsive agent runs, and offers extensibility through plugins that can hook into events, add tools, and standardize policy across a workspace. For individual developers, the pricing angle is unusually clear too: pay as you go with no markup. That is a meanin
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CustomContinue.dev
🔴DeveloperAI Coding Assistant
Open-source AI coding assistant that connects multiple LLM providers with VS Code and JetBrains IDEs, enabling model-agnostic development with chat, autocomplete, and agent capabilities
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Amp - Pros & Cons
Pros
- ✓One of the stronger MCP integration stories among coding agents
- ✓Transparent individual pricing model compared with flat opaque subscriptions
- ✓CLI-first design fits serious development workflows
- ✓Plugin architecture is useful for team policy and workspace customization
Cons
- ✗Usage-based costs can be harder to predict than fixed-seat plans
- ✗Mostly valuable for developers; nontechnical users will get little from it
- ✗Depends heavily on the quality and economics of frontier models
- ✗Still newer and less mainstream than incumbents like Copilot or Cursor
Continue.dev - Pros & Cons
Pros
- ✓Open-source architecture provides full transparency and freedom from vendor lock-in
- ✓Model-agnostic design supports multiple AI providers including local models for privacy
- ✓MCP protocol integration enables connectivity with development toolchains and external services
- ✓Strong privacy controls allow local model execution for sensitive codebases
- ✓Free Solo plan provides full functionality for individual developers
Cons
- ✗Requires more setup compared to turnkey alternatives like Cursor or GitHub Copilot
- ✗Team features require paid Continue Hub subscription at $20/seat/month
- ✗Local model setup needs technical knowledge of inference servers and GPU configuration
- ✗Agent capabilities are newer and less polished than competing solutions
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