Amp is an agentic AI coding tool built by Sourcegraph, engineered from the ground up to maximize what is possible with today's frontier AI models through autonomous reasoning, comprehensive code editing, and complex task execution. Unlike tools that were retrofitted from autocomplete or copilot features, Amp was designed from the beginning as an autonomous coding agent, giving it architectural advantages in handling multi-step development tasks. It addresses the need for AI coding tools that can reason about and execute complex software engineering work rather than just suggesting code snippets.
Amp is both IDE-agnostic and model-agnostic, running inside VS Code, Cursor, Windsurf, or as a CLI and Terminal UI, with support for multiple frontier AI models. Key features include thread sharing for collaborative workflows with one-million-token context windows, a composable and extensible code review agent, a To-Do system that provides live updates as tasks are processed, and full MCP support for extending capabilities with organizational tools. Enterprise features include zero data retention on all LLM providers, single sign-on support, and a strict policy of never training models on customer data.
Amp is designed for professional developers and enterprise engineering teams who want an AI coding agent that combines the flexibility of open tool integrations with the power of Sourcegraph's code intelligence platform. It is particularly valuable for teams that work across multiple IDEs and want a consistent AI coding experience regardless of their editor choice. Compared to Cline and GitHub Copilot, Amp offers a more opinionated agentic experience with enterprise-grade security features and the collaborative thread sharing capabilities that make it suitable for team-based development workflows.