Amp vs Sourcegraph Cody

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

Amp

AI coding assistant

Amp is Sourcegraph’s frontier coding agent for professional developers who want CLI-first automation, long-running agent workflows, MCP-connected tooling, plugins, and pay-as-you-go individual pricing. It is better suited to serious engineering teams than casual coding help because its value depends on terminal workflows, workspace policy, and agent supervision.

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Starting Price

Custom

Sourcegraph Cody

🔴Developer

Developer Tools

Sourcegraph Cody is an enterprise AI coding assistant that uses Sourcegraph code context to help developers search, understand, write, and fix code.

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Starting Price

Custom

Feature Comparison

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FeatureAmpSourcegraph Cody
CategoryAI coding assistantDeveloper Tools
Pricing Plans6 tiers206 tiers
Starting Price
Key Features
  • CLI-first agent workflow
  • Web, CLI, and mobile agent control
  • Plugin system for events, tools, and workspace policy
  • AI coding assistant for understanding, writing, and fixing code
  • Available in VS Code, JetBrains, Visual Studio, Sourcegraph web app, and CLI
  • Developer chat, code completions, code edits, and customizable prompts

💡 Our Take

Choose Amp if your main need is a frontier coding agent for long-running implementation work rather than code search and contextual assistance. Choose Sourcegraph Cody if your team is more focused on understanding large codebases, using Sourcegraph context, and adding AI assistance around code navigation and search workflows.

Amp - Pros & Cons

Pros

  • Amp supports CLI-first agent workflows and can be installed on Mac, Linux, WSL, Windows, or through Homebrew, which fits developers who live in terminal-based workflows.
  • The June 4, 2026 "Agents, Everywhere" release adds continuity across web, CLI, and mobile so developers can watch and drive agents from more than one surface.
  • Performance claims are specific: Amp says deep and rush modes now receive the first token 87% faster, entire responses are 32% faster at p50, and long-horizon tasks can reach up to a 40% end-to-end speedup.
  • Plugin extensibility is deeper than simple settings: plugins can hook into events, add tools, standardize policy, and be deployed to a workspace.
  • The public pricing message is unusually direct for this category: individuals and non-enterprise workspaces pay pass-through provider API costs with zero markup, no subscription or commitment, and a $5 minimum credit purchase.
  • Team controls include passkey-authenticated "sudo" sessions for web and mobile remote control, which is useful when organizations need stronger governance around agent actions.

Cons

  • Amp does not publish a simple fixed monthly or annual seat price, so teams must estimate usage from provider API costs and Amp credit consumption rather than a flat subscription.
  • Usage-based pricing can be harder to forecast than a flat per-seat subscription, especially for developers running long deep or rush sessions.
  • Amp is aimed at professional developers and software teams; nontechnical users will get little value from its CLI, TUI, plugin, and workspace concepts.
  • The product messaging emphasizes moving quickly with frontier models, which may be uncomfortable for teams that prefer slow-changing, highly standardized tooling.
  • Because Amp is newer and more agent-focused than mainstream editor assistants, teams may need to validate its behavior, permissions, and cost controls before replacing incumbent tools.

Sourcegraph Cody - Pros & Cons

Pros

  • Codebase-wide context is useful for large repositories, monorepos, and cross-service discovery
  • Supports multiple developer surfaces: VS Code, JetBrains, Visual Studio, web app, and CLI
  • Enterprise plan includes Sourcegraph platform capabilities such as Full MCP Server, API, CLI, security/admin controls, and 24x5 support
  • Strong fit for onboarding, code explanation, test generation, and finding existing implementation patterns

Cons

  • Enterprise starting price of $16K can be too high for solo developers and small teams
  • Final cost depends on seats, AI feature credits, deployment model, and support terms that must be confirmed with sales
  • Quality depends on Sourcegraph indexing, repository permissions, codebase hygiene, and human code review
  • Teams that only need lightweight autocomplete may find Cody more platform-heavy than necessary

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