Cody

Sourcegraph is a code intelligence platform that empowers developers to work smarter with AI-driven tools for code search, analysis, and automation. By integrating advanced AI capabilities into the software development lifecycle, it accelerates code understanding, streamlines debugging, and enhances collaboration across large teams and complex codebases. Whether you're navigating a sprawling repository or implementing enterprise-wide code improvements, Sourcegraph delivers scalable solutions tailored to modern software development needs.

Core Features

AI Editor Assistant (Cody)

Cody acts as an intelligent co-pilot within popular code editors like VS Code. It offers real-time autocompletions, answers coding questions, and provides context-aware suggestions by analyzing your entire codebase. The AI assistant reduces context switching by delivering relevant documentation, debugging help, and best practices directly in the editor.

Enterprise-Grade Code Search

This feature enables developers to perform precise searches across unlimited repositories and files. It supports semantic search, syntax-aware pattern matching, and code intelligence that understands relationships between code elements. The search interface provides visual context, repository metadata, and file history to help identify relevant code faster.

AI-Powered Agents

Sourcegraph's automation agents handle complex tasks by combining code search with AI capabilities. They can analyze vulnerabilities across your codebase, suggest fixes, and even implement changes programmatically. These intelligent workflows adapt to specific development needs while maintaining codebase integrity.

Batch Changes Workflows

The platform automates large-scale code migrations through declarative workflows. Developers can define changes via YAML files and apply them consistently across hundreds of repositories. This eliminates manual code updates and ensures uniformity while maintaining version control tracking.

Ideal Use Cases

1. Navigating Monolithic Codebases

When working with enterprise-scale systems containing millions of lines of code, Sourcegraph's tools reduce the time required to locate dependencies, understand historical changes, and implement cross-repository modifications.

2. Cross-Repository Bug Resolution

Developers can trace bugs to their origin in distributed systems by analyzing code patterns across all repositories. The AI agents then recommend fixes and help implement them efficiently.

3. Technical Debt Management

The code search functionality enables teams to identify outdated patterns, verify their usage context, and create automated migration plans using Batch Changes, significantly reducing manual debt cleanup efforts.

4. Consistent Code Quality Enforcement

Cody's AI suggestions help maintain coding standards across distributed teams, while the platform's automation ensures that best practices are consistently applied during large-scale code transformations.

Frequently Asked Questions

How do Sourcegraph's pricing plans differ?
The platform offers three primary plans: Free for individual developers with 10,000 monthly autocompletions, Enterprise Starter for small collaborative teams, and Enterprise for full organization deployment. Each tier scales from 50 to unlimited active users and includes additional features like advanced security controls and custom LLM integration.

What constitutes an autocompletion in the Free plan?
Autocompletion usage is measured by the number of suggestions Cody provides while working in supported editors. This includes both code completions and documentation/usage examples but excludes basic syntax highlighting.

How does the platform personalize AI suggestions?
Cody analyzes your codebase's architecture, project structure, and historical patterns to deliver context-specific recommendations. The personalization ensures suggestions align with your organization's coding standards and infrastructure.