Cody by Sourcegraph Review

Suggests code changes by analyzing cursor movements and typing, proposing contextual modifications based on cursor position and recent changes after at least one character edit.

Chat directly with AI to ask questions about your code, generate code, and edit code, with context from your open file and repository, plus the ability to add specific files, symbols, remote repositories, or other non-code artifacts via @.

Provides inline code completions and code edits directly within the editor to help developers write code faster.

Identifies and fixes errors in your code using debugging capabilities and autocomplete suggestions to accelerate the debugging process.

Supports all the latest LLMs, allowing developers to use the most powerful models available for chat and code assistance.

Automate key tasks in your workflow with premade and customizable prompts that can be built, saved, and shared with your team.

Works alongside Sourcegraph Code Search, enabling a Cody chat interface accessible directly from search query results, repositories, and files.

Provides a command-line interface option to run Cody outside of an IDE directly from the terminal.

Uses Sourcegraph's advanced Search API to pull context from both local and remote codebases, including APIs, symbols, and usage patterns across the entire codebase.

Integrates with codehosts like GitHub and GitLab to provide repository-level context for AI assistance.

Connects seamlessly with VS Code, JetBrains, and Visual Studio via dedicated extensions, as well as a web app and CLI option.

Allows ignoring selected repositories from chat and autocomplete results, giving control over what context your codebase uses.