Amp

Everything is changing in software development, and Amp is engineered to help you navigate this shift. Amp is an agentic coding tool designed to maximize what's possible with today's most capable AI models. It integrates directly into your development environment, allowing you to offload tasks and collaborate with AI in a fundamentally new way, ultimately helping you write code faster and focus on higher-level architectural decisions.

Key Features

Amp leverages advanced AI models, tool use, and smart context management to augment your coding process.

• Agentic Code Generation & Editing: Amp can understand complex instructions and write or modify significant portions of your codebase. Think of it as "paint-by-numbers" programming – you provide the architectural vision and detailed requirements, and the agent handles the implementation details, potentially writing 70-80% of the code you commit. This frees you to concentrate on design and strategy.

• Integrated Tool Use: Amp gives the agent access to powerful tools that interact with your environment. This includes file system operations (reading, listing, editing files), running terminal commands (like build, test, git diff, git blame), and interacting with databases (psql). The agent intelligently uses these tools to understand context, execute tasks, and verify its work.

• Visual Feedback with Screenshots: A unique capability allows the agent to "see" the results of its work by taking screenshots of local development server URLs. This is particularly powerful for iterating on UI components or debugging visual bugs, enabling the agent to understand and fix issues based on visual evidence.

• Code Understanding & Review: Amp can analyze code changes (git diff), explain complex code sections, and even generate diagrams (like Mermaid) to visualize relationships within your codebase. It can also read Git commits to quickly grasp context and history.

• Subagents for Complex Tasks: Amp can spawn "subagents"—mini-agents with their own context windows. This allows the main agent to delegate specific, complex tasks (like fixing a compiler error across multiple attempts) to a subagent. This approach helps manage context effectively, preventing the main thread from getting bogged down, and opens possibilities for parallel task execution.

• Amp Tab for Contextual Completions: Amp Tab is an in-editor completion engine that anticipates your next coding steps based on recent changes, diagnostics, and semantic context. It offers suggestions for single lines, multi-line edits, or even changes elsewhere in the document, which you can accept with a simple Tab press.

• Collaborative Threads: All your conversations (threads) with the agent are synced and can be shared with colleagues. This fosters knowledge sharing, helps onboard new team members, and provides valuable context when submitting code for review.

How Amp Solves Your Problems

Amp addresses common developer pain points by automating repetitive tasks, providing rapid feedback loops, and enhancing code understanding.

• Accelerate Feature Implementation: Instead of manually writing boilerplate or handling tedious details, you can provide a detailed prompt outlining the desired feature, architecture, and constraints. Amp can then generate the code, significantly speeding up initial implementation. For example, you could prompt it to "implement this feature touching these files, ensuring it handles these edge cases and adds tests."

• Streamline Debugging and Refactoring: Use Amp to quickly identify and fix errors. You can tell it to "run the build and fix all the errors" or paste a screenshot of a bug or error message and ask it to "fix the issue shown in this screenshot." Amp can also efficiently handle cleanup tasks like "run git diff to see what has been changed then remove the debug statements."

• Deepen Code Understanding: Navigate unfamiliar codebases or complex sections by asking Amp to explain code, diagram relationships, or analyze commit history. For instance, you could ask it to "walk me through the code in this branch... and explain to me how the autocompletions are hooked up into vscode via the code" or "use git blame to tell me who wrote this component."

• Facilitate Iteration and Experimentation: With Amp handling the coding heavy lifting, you can adopt approaches like "build one to throw one away." Quickly generate an implementation based on an idea, review the code Amp produces, and decide whether to refine it or discard it and try a different approach, all with minimal personal effort.

Why Choose Amp?

Amp is built on principles designed to provide maximum value and flexibility:

• Unconstrained Potential: Unlike tools limited by token counts or fixed costs per operation, Amp is engineered to leverage the full power of the best available models without artificial constraints on token usage or cost per interaction. This allows the agent to "think hard" and utilize extensive context when needed to tackle complex problems effectively.

• Always the Best Models: Amp is designed to evolve and automatically utilizes the best frontier models available (currently Claude Sonnet 4 for most tasks), ensuring you always have access to the most capable AI without needing to manually select models.

• Direct Interaction: Amp acts as a sophisticated shell around your conversation with the model, focusing on providing the necessary context and tools rather than abstracting away the model's raw capabilities. This allows you to interact directly and explicitly guide the agent.

Get Started with Amp

Amp is available as an extension for VS Code, Cursor, and Windsurf, and as a powerful Command Line Interface (CLI) for scripting and non-interactive use.

Explore how Amp can fundamentally change your software development workflow and help you achieve more with less manual coding.