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 for VS Code — plans, edits, runs commands and uses MCP tools with explicit human-in-the-loop approval.

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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

  • Free, open source, and the most-installed AI agent on the VS Code marketplace
  • Plan/Act + per-step approvals make it safe to let an agent touch a production repo
  • BYO keys mean no platform markup — you pay model providers directly at cost
  • Built-in MCP marketplace makes tool integration almost zero-config
  • Works with frontier hosted models or fully local LLMs via Ollama for air-gapped use
  • Checkpoints provide an undo button independent of git for safe experimentation

Cons

  • Token usage can be high on long agent loops — easy to burn through Claude credits if you don't watch context
  • Plan/Act paradigm has a learning curve compared to Copilot-style autocomplete
  • Some advanced features (browser automation, MCP) need extra setup beyond install
  • VS Code-only (no JetBrains support yet)

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