Greptile vs Sourcegraph Cody (2026)

Overview

Greptile and Sourcegraph Cody both solve a problem that GitHub Copilot doesn't: understanding your entire codebase, not just the file you have open. When you ask "how does authentication work in this repo?" or "where is the rate limiting logic?", standard AI assistants struggle because they only see a small context window. Both Greptile and Cody index your entire codebase and make it queryable by AI — but with very different architectures, target users, and strengths.

Core Architecture

Greptile is a codebase AI API. It indexes your repositories, builds a semantic understanding of the entire codebase, and exposes this through an API. The primary use case is AI-powered features in products and developer tools — not just a personal assistant, but a platform for building codebase-aware AI applications. Greptile is used by developer tools companies to power "ask the AI about this codebase" features in their own products.

Sourcegraph Cody is an AI coding assistant built on Sourcegraph's code intelligence platform. Cody uses Sourcegraph's existing code search and navigation infrastructure (which indexes millions of repositories) to give AI answers context from across your entire codebase — all files, all branches, all history. Cody is primarily a developer-facing assistant embedded in IDEs and the Sourcegraph interface.

Codebase Understanding

Greptile's codebase understanding is its primary differentiator. It builds a deep semantic index of your repository — understanding how functions call each other, how modules depend on each other, and what patterns exist across the codebase. Queries like "explain the payment processing flow" or "what are all the places that access the users table" return accurate, comprehensive answers because Greptile has indexed the whole repo rather than just relying on similarity search.

Cody's codebase understanding builds on Sourcegraph's battle-tested code intelligence. Cody can reference any file in your codebase through @file mentions, search across repos, and use Sourcegraph's precise code navigation (definition, references, implementations). For large enterprises already running Sourcegraph, Cody's integration with the existing code intelligence platform is seamless.

Use Cases

Greptile shines in:

• AI code review: reviewing PRs with full codebase context (used by tools like Linear, Vercel, and others)
• Codebase Q&A: answering "how does X work?" questions with accuracy that requires full-repo indexing
• Building AI features: companies integrating Greptile's API into their own products
• Onboarding: new engineers getting answers about unfamiliar codebases

Cody shines in:

• Daily coding assistance: autocomplete, chat, inline explanations during development
• Multi-repo enterprises: companies with dozens of related repositories that need cross-repo context
• Teams on Sourcegraph: seamless extension of existing Sourcegraph investment
• Code search integration: combining AI answers with precise code search results

IDE Integration

Cody has polished IDE integrations for VS Code and JetBrains IDEs. The in-editor experience includes autocomplete, chat, inline edit, and smart apply — comparable to GitHub Copilot but with codebase-wide context. Cody's IDE experience is its primary interface.

Greptile is primarily an API and web interface rather than an IDE plugin. It's built for querying and code review use cases rather than real-time autocomplete during coding.

Pricing

Greptile — Free tier available. Pro: ~$20/month. API access for building products: usage-based pricing.

Sourcegraph Cody — Free tier (generous, includes VS Code extension with codebase context). Pro: $9/user/month. Enterprise: custom (includes self-hosted Sourcegraph).

When to Choose Each

Choose Greptile when:

• You want to build codebase-aware AI features into your own product or internal tools
• AI code review with full codebase context is your primary use case
• Deep codebase Q&A accuracy (across large repos) is more important than IDE integration
• You need an API rather than an end-user application

Choose Sourcegraph Cody when:

• You want a complete AI coding assistant with IDE autocomplete and chat
• You're already using Sourcegraph and want AI on top of your existing code intelligence
• Multi-repository codebase context (cross-repo search and reference) is important
• You're a large enterprise that can self-host Sourcegraph for data residency

Verdict

Choose Greptile for building AI-powered developer tools or when deep codebase Q&A accuracy is the priority. It's the right choice for teams that need the full-codebase understanding as an API.

Choose Sourcegraph Cody for a daily AI coding assistant with strong IDE integration and codebase-wide context. It's the right choice if you want something closer to GitHub Copilot but with much better understanding of your specific codebase.