Sourcegraph Cody
AI coding assistant with codebase context
Overview
Sourcegraph Cody is the AI coding assistant to shortlist when answers must account for your entire codebase, not just the open file: it combines Sourcegraph code search with language models so chat, completions, and PR reviews cite real symbols from across every repository you index. Enterprise is the current commercial tier, with custom pricing starting around $16,000 per year, while the standalone Free and Pro plans were discontinued as Cody folded deeper into the Sourcegraph platform. Users can switch across 3 frontier model families, including Claude and GPT alongside Gemini, matching the model to each task instead of being locked to one vendor. Core capabilities include codebase-wide code search for context, multi-repository understanding, inline code completion, chat with codebase context, and PR summary and review assistance, all inside VS Code and JetBrains. That architecture makes Cody especially strong in monorepo and legacy-code environments where generic assistants lose the thread across services. Rated 4.3/5 in our database, it trades the low entry price of consumer copilots for enterprise controls like self-hosting and SSO. Teams evaluating Cody against GitHub Copilot should weight codebase scale: for large organizations with security requirements the searchable-context advantage compounds, while solo developers on a budget will find the discontinued free tier a reason to look elsewhere.
Key Features
Pros
- +Deep codebase understanding
- +Excellent for large enterprise codebases
- +Uses multiple AI models
- +Strong code search foundation
Cons
- -Setup requires Sourcegraph instance for full power
- -Can be slow on very large codebases
- -Free tier limited in scope
- -Overkill for small projects
Best For
Integrations & Compatibility
Frequently Asked Questions
What is Sourcegraph Cody?
Cody is an AI coding assistant by Sourcegraph that provides code-aware AI chat and completions. It uses your entire codebase and the open-source code graph to provide accurate, context-rich coding assistance.
Is Cody free to use?
No. Cody discontinued its Free and Pro plans in July 2025 and is now enterprise-only. Enterprise pricing is custom, with contracts starting at a $16K annual minimum.
What makes Cody different from other AI coding tools?
Cody is backed by Sourcegraph code intelligence platform, giving it deep understanding of large codebases and open-source context. It can search across your entire code repository and reference open-source code for more accurate suggestions.
Cody vs GitHub Copilot which is better?
Cody has stronger codebase-wide search and context understanding. Copilot has better inline suggestion speed. Cody suits large codebases and code search; Copilot for quick inline completions.
Does Cody work with VS Code?
Yes, Cody integrates with VS Code, JetBrains IDEs, Neovim, and has a web-based interface. It provides consistent AI coding assistance across all major development environments.
Can Cody search through my entire codebase?
Yes, Cody can search and understand code across your entire repository, even very large ones. This codebase awareness allows it to provide suggestions that account for how different parts of your code interact.
What happened to the Cody Free and Pro plans?
Sourcegraph discontinued the Free and Pro tiers and now offers Cody as an enterprise product with custom pricing starting from around $16,000 per year. Individual developers who relied on the free tier need to move to another assistant, while the enterprise plan focuses on organization-wide codebase context, security review, and deployment support. Existing customers should confirm migration details with Sourcegraph directly.
How much does Sourcegraph Cody cost for a team?
Cody moved to an Enterprise custom model with a minimum around 16,000 dollars per year, and the previous Free and Pro self-serve plans are discontinued. There is no per seat public price anymore, so you get a quote based on team size and usage. For budgeting purposes, treat it as a five figure annual commitment from day one, which is why the evaluation usually happens at the engineering leadership level rather than by individual developers.
Can individual developers still use Cody?
Not on a self-serve basis anymore: the Free and Pro plans were discontinued, so individual access ended with them. Solo developers who want codebase aware assistance on a budget generally look at tools that still have individual tiers, for example Tabnine with a free plan and a Dev tier at 12 dollars per user per month. Cody itself is now positioned for organizations buying Enterprise, so personal projects and small teams are no longer its target.
What is multi repository understanding in Cody?
Multi repository understanding means Cody draws context across the separate repos that make up one product, not just the repo you currently have open. In practice that helps when a change in the service repo affects the client repo, or when shared libraries live in their own repository: suggestions reference the real definitions and patterns from related codebases instead of guessing from the single file on screen. That is the core differentiator versus assistants that only index the active workspace.
Is Cody worth it for large enterprises?
It earns its keep where codebase complexity is the bottleneck: organizations with dozens of repositories, years of history, and hard onboarding problems get the most value from codebase wide search plus contextually aware completion. At the roughly 16,000 dollar per year minimum, a team of five hobby projects cannot justify it, but a 200 developer org where every engineer saves even twenty minutes a week clears the bar easily. The honest test is whether finding things, not writing them, is where your team loses time.
Does Cody do inline code completion?
Yes. Inline completion is one of its three headline capabilities alongside codebase wide search and multi repository understanding: as you type, it completes lines and blocks using context pulled from your actual codebase, so completions tend to use your real function names, types, and internal patterns rather than generic library guesses. For enterprises evaluating it, completion quality on private internal code is the demo that matters most, since that is where context aware tools separate from generic ones.
Rating Breakdown
Supported Languages
Data Privacy & Security
SOC 2 Type II, self-hosted available