Cody is Sourcegraph’s AI coding assistant for developers and engineering teams. It helps users understand, write, and fix code across editor, web, and CLI workflows using codebase context from Sourcegraph search.
Cody is Sourcegraph’s AI coding assistant. It helps developers understand, write, and fix code by combining large language models with Sourcegraph’s code search and repository context.
The product is available on Sourcegraph Enterprise and across several surfaces, including VS Code, JetBrains, Visual Studio, the Sourcegraph web app, and a command-line interface. It is designed to work with local and remote codebases, so users can ask questions, generate or edit code, and bring in files, symbols, and repositories as context when they need it.
The docs emphasize codebase-aware workflows: Cody can chat about code, propose auto-edits after you start typing, use customizable prompts for repeated tasks, and help with debugging by using surrounding code and search-based context. The CLI extends that same workflow to terminal exploration and scripted use cases.
Pricing for Sourcegraph’s enterprise plan starts at $16K and includes credits for AI features, with contact-sales and volume-pricing language on the pricing page. The pricing page also lists integrations with major code hosts, MCP server access, GraphQL and REST APIs, and CLI support.
Cody supports chat directly in the editor, including asking questions about code, generating code, and editing code. The chat view uses the current file and repository by default, and you can add more context with `@` mentions for files, symbols, remote repositories, or other artifacts.
Cody suggests code changes after you make at least one character edit, using cursor movement and recent typing to propose contextual modifications. The VS Code docs describe these as gray inline suggestions that you can accept with the Tab key.
Cody includes premade and customizable prompts so teams can turn repeated tasks into reusable workflows. The docs say prompts can be built, saved, and shared.
Cody uses Sourcegraph’s Search API to pull context from local and remote codebases, helping it answer with APIs, symbols, and usage patterns from the broader repository environment.
Cody can ignore selected repositories from chat and autocomplete results through context filters, giving users a way to control what sources inform responses.
Cody is available across several interfaces: VS Code, JetBrains, Visual Studio, the Sourcegraph web app, and the command line. The CLI supports chat workflows such as local file context, remote repository context, and stdin input.
Use Cody in an editor chat panel when you need to ask what a function does, trace usage across a repository, or generate code with the current file and repository as context.
Use autocomplete and auto-edit suggestions to draft changes as you type, then accept or refine the proposed edits inside VS Code or a supported editor.
Use Cody to help identify and fix errors by combining chat, surrounding code context, and search-based repository context.
Use the CLI to explore code from a terminal, ask ad-hoc questions, or feed in local files, remote repositories, or stdin from scripts and diffs.
Use reusable prompts and `@` mentions to standardize team workflows such as asking about specific files, symbols, or repositories.
Cody is available for Sourcegraph Enterprise accounts, and the docs also describe a Cody Enterprise option for getting in touch with Sourcegraph’s team.
Cody is available in VS Code, JetBrains, Visual Studio, the Sourcegraph web app, and the command line. The docs also note that Cody CLI support is in an experimental stage for Enterprise accounts.
The docs describe chat, code completions, code edits, customizable prompts, auto-edit suggestions, and context retrieval from local and remote codebases through Sourcegraph’s search API.
For the CLI, the docs say you install it from npm, then authenticate with `cody auth login` or environment variables such as `SRC_ENDPOINT` and `SRC_ACCESS_TOKEN`. For VS Code and JetBrains, you install the extension or plugin and connect it to a Sourcegraph Enterprise instance.
Sourcegraph states that it collects prompts, responses, usage data, and feedback to provide and improve the service. For individuals using Cody via Sourcegraph.com, Sourcegraph says it does not use that data to train models.
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