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Sourcegraph Cody

Freemium

AI coding assistant with full codebase context

Code CompletionFreemium
#vscode#jetbrains#web
Inputs: text, codeOutputs: text, code
Starting Price
$9/mo
Type
Saas
Company
Sourcegraph
Visit Website GitHub

About Sourcegraph Cody

Cody is an AI coding assistant developed by Sourcegraph that leverages deep codebase context from Sourcegraph's code graph to provide accurate code generation, explanations, and autocomplete across an entire codebase. It integrates with popular IDEs such as VS Code, JetBrains, and Visual Studio (experimental), and is also available via a web app and command-line interface. Cody uses advanced search APIs to pull context from both local and remote codebases, including APIs, symbols, and usage patterns, enabling developers to understand, write, and fix code faster. The tool supports multiple large language models and offers features like chat, auto-edit, customizable prompts, debugging assistance, and context filters to ignore selected repositories. Cody is part of the broader Sourcegraph ecosystem, which includes Sourcegraph Enterprise for team and organizational use. It collects prompts and responses to provide the service, and for users on Sourcegraph.com, this data may be used to enhance the user experience.

Key Features

Full codebase context
Code graph intelligence
Multi-repo understanding
Autocomplete
Chat assistance
Custom commands

Pros & Cons

Pros
  • Leverages deep codebase context for more accurate and relevant AI responses
  • Integrates with multiple popular IDEs and platforms (VS Code, JetBrains, Visual Studio, web, CLI)
  • Supports multiple LLMs, offering flexibility in model choice
  • Offers both free and enterprise tiers, making it accessible for individual developers and teams
  • Includes features like auto-edit and customizable prompts to streamline workflows
  • Part of the Sourcegraph ecosystem, which provides additional code intelligence capabilities
Cons
  • Free tier likely has usage limits or restrictions that should be verified on the pricing page
  • Requires internet access to connect to Sourcegraph's backend and LLMs
  • Effectiveness depends on the quality and completeness of the codebase context provided
  • Data collection of prompts and responses may raise privacy concerns for some users
  • Integration with Visual Studio is marked as experimental, so stability may vary

Best For

Generating code snippets or entire functions based on existing codebase patternsExplaining complex code or unfamiliar APIs using full codebase contextDebugging and fixing errors with AI-driven suggestionsAutomating repetitive coding tasks with customizable promptsRefactoring code across multiple files with context-aware editsOnboarding new developers by providing codebase-aware assistance

FAQ

What IDEs does Cody support?
Based on available information, Cody supports VS Code, JetBrains, and Visual Studio (experimental), as well as a web app and command-line interface.
Is Cody free to use?
Cody appears to offer a freemium model, with a free tier available for individual developers. Exact limits and features of the free tier should be verified on the Sourcegraph pricing page.
How does Cody get context from my codebase?
Cody uses Sourcegraph's advanced Search API to pull context from both local and remote codebases, including APIs, symbols, and usage patterns. It can also use context from open files and repositories by default.
Can I use Cody with my team?
Yes, Cody offers an Enterprise version for teams and organizations. You can contact Sourcegraph to try Cody for Sourcegraph Enterprise.
What data does Cody collect?
Cody collects prompts and responses to provide the service. For users on Sourcegraph.com, this data may be used to enhance the user experience. Specific data handling policies should be reviewed in Sourcegraph's privacy documentation.
Does Cody support multiple programming languages?
Cody is designed to work with any programming language present in your codebase, as it uses codebase context rather than language-specific models. However, the quality of support may vary by language and should be tested.