Amp

Amp is an agentic coding environment for developers who want AI agents to handle complex software tasks across local repositories and remote development environments. It goes beyond autocomplete by letting agents inspect codebases, edit files, run commands and tests, research unfamiliar code, review changes, and delegate parts of a task to specialist agents. A defining Amp capability is Orbs, remote development machines created for agent threads. An Orb gives an agent a prepared environment where it can continue working on a repository without keeping the developer's laptop running. This makes Amp useful for long-running implementation, debugging, migrations, research, and other tasks that benefit from parallel or background execution. Amp also provides a CLI, web workflows, editor integrations, MCP support, and an SDK for programmatic agent workflows. Specialist agents such as Review, Search, Oracle, Librarian, and Read Thread can handle focused tasks or reduce context pressure in a main coding session. Amp can also use linked third-party AI subscriptions such as ChatGPT where supported, alongside its own model and usage billing. For founders and engineering teams, Amp is strongest when software work involves multi-step implementation, codebase research, automated testing, code review, or multiple tasks that can run in parallel. The tradeoff is a usage model that can become complex for heavy workloads: subscriptions include agent and Orb allowances, while additional usage is billed through credits or usage billing. Teams should compare current agent modes, model costs, and Orb usage against simpler fixed-seat coding tools.