Context-rich AI coding helper
Sourcegraph Cody is an advanced AI coding assistant that leverages the power of large language models and Sourcegraph's code graph to provide context-aware assistance. It offers features like code autocomplete, chat-based code explanations, and custom commands for common coding tasks. Cody integrates seamlessly with popular IDEs and code hosts, using codebase-specific context to deliver more accurate and relevant suggestions, making developers more efficient in writing, understanding, and maintaining code.
Sourcegraph Cody AI is a context-rich AI coding helper that leverages LLMs and code graphs for precise, context-aware assistance. It offers autocomplete, explanations, and custom commands, integrating into IDEs and hosts for enhanced efficiency in code creation and maintenance.
By understanding entire codebases through code graphs, Sourcegraph Cody provides accurate and relevant suggestions, explanations, and custom commands, improving developer productivity in managing and maintaining code.
Analyzes entire code graph for context
Reduces hallucinated suggestions
Handles large codebases
Maps project dependencies
Creates reusable code actions
Predicts code with context
Generates inline comments
Flags vulnerable patterns
Works with VS Code/JetBrains
Fine-tuned for code
Stores code metadata
Efficient queries
Enterprise security
Coding
High-speed AI code completer
Coding
AI-powered code vulnerability detection and fixes
Coding
Self-programming AI using LLMs like GPT-4
Coding
Text-to-Next.js web app generator
Coding
AI-powered code maintenance assistant
Coding
AI support assistant for faster ticket resolution