Sourcegraph Amp vs Cline

Detailed side-by-side comparison to help you choose the right tool

Sourcegraph Amp

🔴Developer

AI Coding

Sourcegraph Amp is Sourcegraph's frontier-model coding agent built for monorepos, with live access to the Sourcegraph code graph and MCP support.

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Starting Price

Custom

Cline

🔴Developer

AI Coding

Open-source autonomous coding agent that runs as a VS Code (and JetBrains) extension, using your own API keys to plan, edit files, run terminal commands, and iterate against real feedback — the reference implementation of a transparent agentic coding loop.

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Starting Price

Custom

Feature Comparison

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FeatureSourcegraph AmpCline
CategoryAI CodingAI Coding
Pricing Plans98 tiers33 tiers
Starting Price
Key Features
  • Frontier-model agent grounded in Sourcegraph's code graph
  • Monorepo-scale code intelligence: references, call sites, dependencies
  • Shared threads between VS Code and CLI
  • Open-source coding agent runtime for VS Code, CLI, and SDK embedding
  • Bring-your-own-key support for OpenAI, Anthropic, Google, and other model providers
  • MCP Marketplace for connecting agent tools and context

Sourcegraph Amp - Pros & Cons

Pros

  • Monorepo code-graph grounding beats embedding-only competitors on large repos.
  • Pass-through token pricing rewards heavy use instead of capping it.
  • Shared threads across VS Code and CLI match how senior engineers actually work.

Cons

  • No managed model — you bring API keys, which is friction for team buyers.
  • VS Code extension is newer and less polished than the established Cody extension.
  • CLI is powerful but documentation still lags the product roadmap.

Cline - Pros & Cons

Pros

  • Shows proposed edits and commands before execution
  • Supports many hosted and local model providers instead of locking users to one
  • Checkpoint history makes experimental agent runs easier to unwind
  • Deep MCP support connects browsers, databases, tickets, and internal tools

Cons

  • BYO-model usage can become expensive during long agent loops
  • Frequent approval prompts trade autonomy for safety
  • Output quality and cost vary substantially by selected model
  • Managed and team pricing needs vendor confirmation

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