
Sourcegraph Cody
AI coding assistant with codebase context.
About Sourcegraph Cody
Sourcegraph Cody is an AI coding assistant designed to understand and work within the full context of a codebase, rather than operating only on the file or snippet currently open in an editor. It connects to a developer's entire repository, or across multiple repositories, to answer questions, generate code, explain logic, and suggest fixes with awareness of how different parts of a system relate to one another. This codebase-wide context is the core differentiator, making responses more relevant and grounded in the actual architecture a team has built rather than generic patterns. The primary use cases include asking natural language questions about unfamiliar code, automating repetitive coding tasks, writing and running unit tests, debugging errors with full context about surrounding code, and onboarding new engineers to large or complex projects. Cody integrates directly into popular editors including VS Code and JetBrains IDEs, and it also functions through the Sourcegraph web interface. It supports multiple underlying large language models, giving teams some flexibility in which model powers the assistant. The tool is particularly well suited to enterprise engineering teams working with large, sprawling codebases where a standard AI assistant lacking repository-level context would produce less accurate or less applicable suggestions. Sourcegraph offers Cody on a tiered pricing model. A free plan is available for individual developers, covering basic chat and autocomplete functionality with usage limits. A Pro plan targets individual professionals who need higher usage allowances. Enterprise plans are aimed at organizations that require self-hosted or private cloud deployment, security controls, single sign-on, and the ability to index and search across large internal codebases at scale. The enterprise tier is where Cody's codebase context capabilities are most fully realized, as it can index significantly more code and integrate with internal code hosts including self-managed GitLab and GitHub instances.
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