Amp: Sourcegraph agentic coding assistant for serious codebases.

Amp review

Amp is Sourcegraph's agentic coding product for developers who want a more autonomous workflow tied to code intelligence. It sits near Claude Code and Devin in the buyer conversation: users are not only asking for completions but for an assistant that can understand a task, inspect a codebase, make edits, and produce a useful patch. Amp is especially relevant if your organization already values Sourcegraph's code context. Pricing and packaging are evolving, so teams should validate current access and model limits directly with Sourcegraph.

In practice, Amp is most useful when the team picks a narrow workflow and measures whether the tool improves that job. For sourcegraph customers, large repositories, agentic code changes, the important question is not whether the demo looks impressive. It is whether the generated code fits your repository, whether the tool makes its changes easy to inspect, and whether a developer can recover quickly when the model misunderstands the task.

Pricing also matters because AI coding usage can grow faster than expected. Packaging is evolving; check Sourcegraph for current access and pricing. Check the vendor pricing page before buying because usage limits and model access can change. Teams should test realistic prompts, not only a single autocomplete, and estimate monthly cost for heavy users, occasional reviewers, and nontechnical collaborators separately.

The strongest reason to choose Amp is fit. It supports Editor, CLI, Sourcegraph and is commonly used with Most languages Sourcegraph can index. That makes it a credible option for sourcegraph customers, large repositories, agentic code changes. The weaker fit is budget hobby projects, no-code app builders, teams wanting only open source, where a different category of AI coding tool may be more effective.