Sourcegraph Cody
Code-search and AI assistant by Sourcegraph — semantic search across enterprise codebases plus inline coding help.
Sourcegraph Cody is a code-search and AI assistant by Sourcegraph — semantic search across enterprise codebases plus inline coding help. Indexes very large monorepos for semantic, regex, and structural search.
About Sourcegraph Cody
Sourcegraph Cody is a code-search and AI assistant from Sourcegraph — semantic search across large codebases paired with inline coding help.
Its differentiator is search-grounded answers: it indexes very large monorepos for semantic, regex, and structural search and feeds that context to the model, which cuts hallucinations on internal APIs. A self-hosted Enterprise option keeps source on your own infrastructure.
It fits enterprises with big codebases that want AI grounded in their own code and control over where it runs. Caveats: self-hosted setup and indexing are non-trivial, and pricing moves from per-seat to an enterprise contract at scale.
It's the code-search-first assistant, where Copilot and Cursor lead with completion and editing.
Sources: sourcegraph.com/cody, this listing
What it does well
- Indexes very large monorepos for semantic, regex, and structural search.
- Self-hosted Enterprise option keeps source code on customer infrastructure.
- Combines code-search context with LLM answers, reducing hallucinations on internal APIs.
Where it falls short
- Setup and indexing for self-hosted deployment is non-trivial.
- Pricing shifts from per-seat to enterprise contract at scale.
Tagged
- Self-hostable
- Supports Claude
- Supports GPT
- VS Code Extension
- JetBrains Plugin
- Enterprise Plan
- Freemium
Compared with similar things
Picked by shared tags inside the AI Coding Agents.
- 01Freemium →GitHub Copilot
GitHub's AI pair programmer with chat, inline completions, and agent mode across major IDEs.
- 02Freemium →JetBrains AI Assistant
JetBrains' first-party AI assistant for IntelliJ, PyCharm, WebStorm, and the rest of the IDE family.
- 03Freemium →Tabnine
Enterprise AI code completion with private models, zero data retention, and on-prem deployment options.
- 04Freemium →Codeium
Free AI code completion and chat across 70+ IDEs, with enterprise self-hosting available.
- 05Freemium →Codex
OpenAI's coding agent — works in the terminal, IDE, and cloud, reviews GitHub pull requests, and runs on GPT-5 models.
- 06Freemium →OpenRouter
Unified API gateway for 200+ LLMs across providers with usage-based billing on a single account.
Related reading
- What Is an AI Agent Harness? The Runtime That Turns an LLM Into an Agent
A harness is the runtime wrapper that turns a bare language model into an agent — the layer that runs tools, holds memory, assembles context, and enforces limits. The model does the reasoning; the harness does everything the model can't do on its own. It's the part that decides whether you shipped a chatbot or a real agent — and it's why the same model feels brilliant in one tool and useless in another.
Read guide → - Claude Code Memory
Claude Code has built-in memory — a CLAUDE.md file it reads each session — but it only holds short, hand-written notes. To make it understand a large codebase or docs set, you add a second brain: turn the repo into a knowledge graph, fold that into an Obsidian vault, and let the agent query the map instead of re-reading every file.
Read guide → - How to Do Your Own SEO with Claude Code
Claude Code can do most of your SEO — build a crawlable static site, write and optimize pages, fix the technical layer, even bottle the whole workflow into a reusable skill. What it can't do is invent authority or pick keywords, and if you let it generate 10,000 pages you'll get de-indexed, not ranked. Here's the honest, hands-on version for a maker whose site shipped last week.
Read guide →
Concepts you should know
- Embedding
A fixed-length vector of floating-point numbers that represents the semantic meaning of a piece of text, image, or other input. Used for similarity search, clustering, and retrieval. Common embedding models output 768 to 3072 dimensions.
- RAG
Retrieval-Augmented Generation — a pattern where the application retrieves relevant text chunks from a knowledge base (vector DB, search index) and includes them in the LLM prompt at query time, so the model answers from grounded sources instead of pure memorisation.
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</a>Frequently asked questions
- What is Sourcegraph Cody?
- Sourcegraph Cody is a code-search and AI assistant by Sourcegraph — semantic search across enterprise codebases plus inline coding help.
- Is Sourcegraph Cody free?
- Sourcegraph Cody offers a free tier and paid plans with higher limits or premium features.
- What platforms does Sourcegraph Cody support?
- Sourcegraph Cody runs on vscode-ext, jetbrains-plugin, web.
- What category does Sourcegraph Cody belong to?
- Sourcegraph Cody is in the AI Coding Agents category — Autonomous agents that write, edit, run, and review code. Includes CLI agents, agentic IDE add-ons, and code-review bots.
- What are the downsides of Sourcegraph Cody?
- Setup and indexing for self-hosted deployment is non-trivial. Pricing shifts from per-seat to enterprise contract at scale.