Master Amp with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Amp powerful for ai coding assistant workflows.
Amp is used to run AI coding agents that can work on software tasks from the terminal and continue across web and mobile surfaces. The website describes it as a frontier coding agent rather than a basic autocomplete assistant, so it is best suited for multi-step development work such as editing an existing codebase, managing a long thread, or letting an agent investigate and change code. Its plugin system also makes it relevant for teams that want to standardize policy and tooling across a workspace.
Amp charges for actual LLM and certain tool usage. Individuals and non-enterprise workspaces pay pass-through provider API costs with zero markup, no subscription, no commitment, and a $5 minimum credit purchase. Amp's pricing page gives an example where $2 in Anthropic API usage plus $0.50 in OpenAI API usage deducts $2.50 from credits. Enterprise usage is 50% more expensive than individual and team plans and requires a one-time $1,000 USD purchase that grants $1,000 USD of Enterprise usage. Source: https://ampcode.com/manual#pricing
Amp lists several 2026 product updates on its homepage and Chronicle pages. On June 5, 2026, Amp announced that deep and rush modes receive the first token 87% faster and entire responses 32% faster at p50, with up to a 40% end-to-end speedup on long-horizon tasks. On June 4, 2026, it announced "Agents, Everywhere" for web, CLI, and mobile control. On May 28, 2026, Amp said plugins could show web UI elements. Sources: https://ampcode.com/news/faster-deep-rush, https://ampcode.com/news/agents-everywhere, and https://ampcode.com/news/plugins-everywhere
Amp can work for both, but the public site describes different strengths for each audience. Individuals get zero-markup pass-through usage pricing and can install the CLI on common development environments including Mac, Linux, WSL, Windows, and Homebrew. Teams get more value from workspace-level plugins, policy standardization, durable agent execution, pooled workspace credits, and passkey-authenticated sudo sessions for remote control. Compared to the 870+ AI tools in our directory, Amp is more specialized toward serious engineering workflows than general productivity use.
Amp is closer to Claude Code and Codex than to simple code completion tools because its public positioning centers on long-running agents, CLI use, and durable execution. Cursor and GitHub Copilot are stronger fits when a team wants editor-native assistance and familiar IDE integration, while Amp is more compelling when the desired workflow is to start agents in a terminal and monitor or drive them elsewhere. Amp's plugin architecture and 2026 performance updates are specific strengths, but users who need predictable fixed-seat pricing may prefer competitors with published subscription tiers.
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Tutorial updated March 2026