Amp vs Sourcegraph
Two Coding AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
An agentic coding tool built by Sourcegraph
Best forIndividual developers and teams who want an agentic workflow paired with frontier models
What it doesAmp is a coding agent that runs in the terminal and can be controlled from web, mobile, or command line. It offers multiple operating modes, a Diffs feature for reviewing and staging changes, and plugin extensibility for custom workflows.
Capabilities- Agent execution in the terminal with remote control
- Diffs for code review and change staging
- Multiple modes including smart, Deep and Rush
- Plugin extensibility for custom agents
- Team collaboration with authenticated sessions
Visit Amp →Code search and AI context across the whole codebase
Best forEnterprise engineering teams managing large multi-repository codebases who want reliable AI context
What it doesSourcegraph indexes entire codebases to give humans and AI agents complete context for search, oversight, and large-scale change. It supports natural-language and deterministic code search plus cross-repository batch changes.
Capabilities- Natural-language Deep Search with citations
- Deterministic code search across repositories
- MCP server for AI agent code intelligence
- Batch Changes for cross-repo refactors
- Code Insights analytics for migrations and risk
Visit Sourcegraph →How to choose
Choose Amp if you are individual developers and teams who want an agentic workflow paired with frontier models. Choose Sourcegraph if you are enterprise engineering teams managing large multi-repository codebases who want reliable ai context. Both sit in Coding; the right pick depends on your exact workflow and budget.
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