What Amp Does
Sourcegraph has spent over a decade building some of the most sophisticated code intelligence infrastructure in the industry. Their universal code search and code navigation products power developer workflows at some of the largest engineering organizations in the world. Amp is what happens when a company with that depth of codebase understanding turns its attention to building an AI coding agent. The result is a tool that approaches your codebase differently than any other agent on the market.
Code Intelligence and Architecture
Amp is a command-line tool. This is an intentional, principled choice, not a resource constraint. Sourcegraph's thesis is that the terminal is where developers have the most control and context about their environment. In a terminal, you are already in the right directory, already authenticated to your services, already operating in your chosen shell with your aliases and environment variables. An agent that lives in the terminal inherits all of that context automatically.
The core differentiation of Amp is its use of Sourcegraph's code intelligence layer. Before Amp writes a single line of code, it uses precise code navigation — go-to-definition, find-references, call graphs, type hierarchies — to build a mental model of the relevant parts of your codebase. This is qualitatively different from how most AI agents approach codebases. Other tools either read every file (expensive and often irrelevant) or rely on fuzzy semantic search (fast but imprecise). Amp uses the same symbol-level precision that Sourcegraph's search product is known for.
Getting Started, Planning, and Execution
Starting Amp is as simple as running `amp` in your project directory. A conversational interface appears in the terminal where you can describe what you want to accomplish. Amp acknowledges the request, asks any clarifying questions it needs, and then begins its investigation phase — navigating the codebase to understand the context before proposing a plan. The investigation is visible: you can watch Amp trace symbol definitions, read file contents, and build its understanding in real time.
The planning phase is Amp's most distinctive feature. Before making any changes, Amp produces a structured plan: which files will be modified, what changes will be made to each, and why each change is necessary. The plan is presented in the terminal and you can approve, modify, or reject it before execution begins. This plan-then-execute approach means you are never surprised by the changes Amp makes — you understand the full scope of the operation before a single file is touched.
Plan execution is careful and methodical. Amp makes changes file by file, running any validation it can after each change. If your project has a TypeScript compiler, Amp will run `tsc` after each file modification to check for type errors. If you have a test suite configured, Amp can run relevant tests as it goes. This incremental validation means errors are caught immediately, while the context of what caused them is still fresh, rather than discovering a cascade of failures at the end.
Polyglot Codebase Understanding
Amp's understanding of codebases with polyglot architectures is a notable strength. Modern applications often combine a TypeScript frontend, a Python backend, and Go services, all within the same repository. Amp handles cross-language features gracefully — it can trace a data model from a TypeScript API client through a REST API contract to the Python implementation and the underlying database schema, understanding all the translations that happen along the way.
Diff Review and Git Integration
The diff review workflow in Amp is designed for developers who take code quality seriously. After executing a plan, Amp presents the full diff in a unified format before finalizing. You can review every change, ask Amp to explain specific decisions, request modifications, or approve the entire changeset. Amp supports iterative refinement — if you want a different approach to a specific part of the implementation, you can say so and Amp will revise that section while keeping the rest of the changeset intact.
Git integration is tight and considered. Amp respects your git configuration, understands branch contexts, and can generate commit messages that accurately describe the changes it made. When working on a feature that touches multiple logical concerns, Amp can split its changes into multiple focused commits rather than one monolithic commit. For teams that practice atomic commits for bisectability and code review clarity, this feature alone has significant practical value.
Sourcegraph Platform Integration
Amp's integration with the broader Sourcegraph platform unlocks capabilities not available to standalone agents. If your organization uses Sourcegraph Enterprise, Amp can leverage your company's code graph — searching across all internal repositories, not just the one currently checked out. This means Amp can find examples of how your team has solved similar problems before, reference internal libraries you might not have known about, and avoid duplicating patterns that already exist in your codebase.
Performance and Pricing
Performance is one of Amp's genuine strengths. The code intelligence layer is highly efficient — rather than loading large amounts of code into context, it uses precise symbol navigation to pull in exactly the relevant code. This means Amp's responses are fast, its token usage is efficient, and it can work effectively on large codebases that would cause other tools to struggle with context limits.
Pricing is consumption-based, tied to the underlying model usage plus Sourcegraph's code intelligence services. There is a free tier with limited monthly credits that allows meaningful evaluation. Individual paid tiers start at $20 per month, with team plans providing additional credits, collaboration features, and the option to connect to Sourcegraph Enterprise for cross-repository intelligence. The consumption model means heavy users should budget carefully, as complex multi-file operations can consume significant credits.
Limitations and Setup
There are real limitations to acknowledge. Amp's terminal-only interface is a genuine barrier for developers whose workflow is deeply integrated with a graphical IDE. Reviewing diffs in the terminal is workable but less comfortable than the side-by-side diff views available in editors like Cursor or VS Code. Developers who rely heavily on visual debugging, graphical profilers, or designer collaboration features will find Amp's terminal focus constraining.
The setup process, while not difficult, requires more configuration than installing a plugin. Amp needs to be told about your project's structure, test commands, and build processes during initial setup. This configuration pays dividends in the quality of Amp's subsequent behavior, but it is an investment that needs to be made upfront. Teams adopting Amp at scale will want to establish standard configuration templates to reduce per-developer setup friction.
Competitive Positioning
Comparing Amp to other agentic tools reveals its distinctive positioning. Against Claude Code, Amp's code intelligence layer gives it a precision advantage in navigating large codebases, while Claude Code benefits from Claude's broader reasoning capabilities. Against Devin, Amp is more lightweight and developer-controlled — Devin aims for full autonomy, while Amp keeps the developer in the loop at every decision point. Against Aider, Amp offers more sophisticated codebase navigation at the cost of less configurability.
The Bottom Line
Amp is a tool for a specific kind of developer: one who values precision over convenience, who works in large and complex codebases, and who wants an agent that understands code the way a senior engineer does — by tracing definitions, reading types, and following call chains — rather than by pattern-matching against training data. If that describes your work, Amp is likely the most technically capable agent available for your use case. The combination of Sourcegraph's code intelligence heritage and modern LLM reasoning creates an agent that genuinely elevates what's possible in automated software development.
