Cody Review 2026: Enterprise Code Intelligence Transitioning to Amp

A detailed review of Sourcegraph Cody, the enterprise-focused AI coding assistant with deep codebase understanding. Covers cross-repository context, pricing changes, the transition to Amp, and where it fits for enterprise teams.

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What Is Cody?

Cody is Sourcegraph’s AI coding assistant, built on top of Sourcegraph’s code intelligence platform. Its key differentiator is deep understanding of entire codebases — not just the files open in your editor, but all repositories indexed by Sourcegraph, including cross-repository dependencies and code relationships.

Cody is designed primarily for enterprise teams working with large, interconnected codebases. Sourcegraph has announced that Cody is transitioning to Amp, a new product. As of early 2026, Cody remains available and functional, but prospective buyers should be aware that the product roadmap is shifting.

What It Does

Cross-Repository Code Understanding

This is Cody’s primary strength. Because it is backed by Sourcegraph’s code search and navigation platform, Cody understands code across multiple repositories. Ask “how is the User type used across all our services?” and Cody can trace it through microservices, shared libraries, and API boundaries.

For enterprise teams with dozens or hundreds of repositories, this level of cross-repo awareness is something most AI coding tools cannot match. Cursor and Copilot work within a single project; Cody works across your entire codebase.

Code Completion and Chat

Cody provides inline code completions as you type and a chat interface for asking questions about your code. The completions are context-aware — they consider not just the current file but the broader repository and related repositories. Chat responses reference specific files, functions, and code paths.

Agentic Editing

Cody supports agentic workflows where it can plan and execute multi-file changes. It can generate tests, refactor code, and update documentation across files. The agentic capabilities are newer and less mature than Cody’s core search-powered features.

Multi-Model Support

Cody supports multiple LLM backends — Claude, GPT, DeepSeek-Coder, Gemini, and Mistral. Enterprise customers can choose which models are available to their teams based on capability and compliance requirements.

Pricing

Sourcegraph discontinued Cody’s free and Pro tiers in July 2025. Current pricing is enterprise-only:

PlanPriceKey Features
Enterprise Starter$19/user/moCode completions, chat, single-repo context
Enterprise$59/user/moFull cross-repo context, admin controls, SSO, self-hosted option

There is no free tier and no individual developer plan. The Enterprise Starter plan provides basic AI features, while the full Enterprise plan unlocks the cross-repository intelligence that is Cody’s main value proposition.

Pricing verified February 2026. Check sourcegraph.com/pricing for current plans.

Strengths

Cross-repository code intelligence is unmatched. No other AI coding tool understands code across multiple repositories the way Cody does. For enterprise teams with complex, distributed codebases, this translates to better answers, more accurate completions, and refactors that account for downstream dependencies.

Self-hosted deployment gives full data control. Organizations that cannot send code to external APIs can deploy Sourcegraph and Cody on their own infrastructure. This is a requirement for many regulated industries — finance, healthcare, defense — and Cody is one of the few AI coding tools that supports it.

Enterprise security features are mature. SOC 2 compliance, SSO integration, role-based access, audit logging, and IP indemnity on the Enterprise plan. Sourcegraph has been selling to enterprise customers for years, and the security posture reflects that.

Weaknesses

No free tier means no easy evaluation. Since July 2025, the only way to try Cody is through an enterprise trial. Individual developers and small teams who want to evaluate it face a higher barrier than competitors offering free plans.

The transition to Amp creates uncertainty. Sourcegraph has announced that Cody is evolving into Amp. For teams evaluating a multi-year investment in an AI coding tool, this raises questions about long-term product continuity, feature parity, and migration paths.

Pricing is higher than most alternatives. At $19—59/user/mo with no free option, Cody is more expensive than GitHub Copilot ($10—19/user/mo) and comparable in price to Cursor Business ($40/user/mo) without the standalone IDE that Cursor includes.

Who It’s For

Cody fits well for:

  • Enterprise teams with large, multi-repository codebases
  • Organizations that need self-hosted AI coding tools for compliance
  • Teams already using Sourcegraph for code search and navigation
  • Companies that require SOC 2, SSO, and IP indemnity

Cody is a harder sell for:

  • Individual developers (no free or individual plan)
  • Small teams that do not need cross-repository intelligence
  • Teams that want long-term product stability (Amp transition is in progress)
  • Developers using Emacs or Neovim (support is not yet available)

Sources

Feature Overview

Code Completion
Chat
Inline Editing
Agentic Mode
Multi-File Editing
Terminal Commands
Browser Use
Test Generation
Debugging
Refactoring
Code Review
PR Review
Documentation
Image to Code
Voice Input
App Generation
Deployment
Git Integration

Supported AI Models

Claude 3.5 Sonnet DeepSeek-Coder-V2 OpenAI models Google models Mistral

Context window: Not disclosed

Platform Support

Platforms: Desktop, Web

IDEs: VS Code, JetBrains (all), Emacs/Neovim (planned)

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