Amp by Sourcegraph

Amp is an agentic coding tool engineered to maximize what's possible with today's frontier models—autonomous reasoning, comprehensive code editing, and complex task execution. It's not just an assistant but an agent able to plan, reason, and execute tasks across your codebase. Launched in July 2025 as the official successor to Cody, Amp is a fully autonomous coding agent that works directly in the browser or CLI. Solo developers seeking comprehensive Windsurf alternatives might prefer Amp for its unlimited token usage and deep contextual understanding.

Strengths

• Unconstrained token usage with no artificial limits on AI model interactions
• Leverages latest AI models including Claude Sonnet 4 for intelligent coding assistance
• Can read entire repositories, generate test files, and execute complex multi-step tasks
• Session sharing capabilities allow global collaboration on coding projects
• Targets production-ready changes rather than simple demos or suggestions
• Oracle model system for complex debugging and code review assistance

Weaknesses

• Currently in research preview with expected rough edges
• Higher costs compared to traditional $20/month subscription models
• Slower inference speed when using more powerful model configurations
• Limited IDE integrations beyond VS Code extension

Best for

• Teams requiring autonomous coding agents with enterprise-grade capabilities

Pricing plans

• Free Credits — Unknown pricing — New users receive $10 in free credits, Cody Pro users get additional $30 credits
• Enterprise — $1,000 USD one-time purchase — Grants $1,000 USD of Amp Enterprise usage
• Enterprise Premium — $5,000+ USD with invoice payments — Volume discounts available for $25,000+ USD purchases

Tech details

• Type: Autonomous AI coding agent
• IDEs: Visual Studio Code (research preview extension), CLI interface, browser-based
• Key features: Autonomous reasoning, comprehensive code editing, complex task execution, team-level context sharing
• Privacy / hosting: Cloud-hosted service with team workspace capabilities
• Models / context window: Claude Sonnet 4 and other frontier models, unlimited token usage

When to choose this over Windsurf

• You need unlimited token usage without artificial constraints on AI interactions
• Your focus is on production-ready code changes rather than development assistance
• You work in teams requiring enterprise-grade collaborative features

When Windsurf may be a better fit

• You prefer traditional subscription pricing over usage-based enterprise models
• You need extensive IDE integrations beyond Visual Studio Code
• You require stable, production-ready tooling rather than research preview software

Conclusion

Amp represents Sourcegraph's vision of autonomous coding agents that can plan, reason, and execute complex tasks. Its unconstrained approach to token usage and focus on frontier AI models makes it a compelling option for teams willing to invest in cutting-edge development tools. While still in research preview, it shows real promise for enterprise development workflows. Solo developers exploring Windsurf alternatives should consider whether Amp's team-focused features and enterprise pricing align with their needs.

Sources

• Official site: https://sourcegraph.com/amp
• Docs: https://ampcode.com/manual
• Pricing: https://sourcegraph.com/pricing

FAQ

Q: What makes Amp different from other AI coding assistants? A: Amp is unconstrained on token usage and will always use the best model(s), focusing on autonomous agent capabilities rather than simple code completion or chat assistance.

Q: Is Amp ready for production use? A: Amp is currently in research preview, and some rough edges are expected. However, it targets production-ready changes rather than demos.

Q: How does Amp's pricing work? A: Amp Enterprise requires a special one-time $1,000 USD purchase, which grants your team $1,000 USD of Amp Enterprise usage, with higher-tier options available for larger teams.

Q: What IDEs does Amp support? A: Amp has a Visual Studio Code extension in research preview and works directly in the browser or CLI.

Q: Can Amp work with entire codebases? A: Yes, Amp can read your repo, generate test files, and execute tasks across your entire codebase.

Q: What AI models does Amp use? A: Amp leverages the latest AI models, including Claude Sonnet 4 and others, with an oracle model system for complex debugging and code review.

Q: Is there team collaboration support? A: Yes, Amp allows you to share your whole session globally and includes team-level context sharing capabilities.