Sourcegraph Cody
Enterprise AI coding assistant with multi-repository context retrieval
Sourcegraph Cody is profiled here as a Prompt Management tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Sourcegraph Cody is the enterprise AI coding assistant built by Sourcegraph, Inc., the code intelligence company founded by Stanford graduates Quinn Slack and Beyang Liu in 2013. Cody became generally available in December 2023 and now ships as Cody Enterprise, with the company's free and pro tiers wound down in June 2024 in favor of the separate Amp product for individual developers. The tool layers LLM coding capabilities on top of Sourcegraph's code graph, which indexes codebases across hundreds of thousands of repositories.
Key Capabilities:
Code graph retrieval across multiple repositories, code hosts, and programming languages
Multi-code-host support for GitHub, GitLab, Bitbucket, Gerrit, Perforce, and Azure DevOps
BYOK LLM support including Anthropic Claude, OpenAI GPT, Azure OpenAI, and AWS Bedrock
Self-hosted deployment in customer VPCs and on-premise data centers
Chat, autocomplete, inline edit, and unit test generation with codebase context
Programmable commands and custom prompts for repeatable workflows
Context filters, audit logs, and role-based access control for administrators
Open-source attribution guardrails for licensed code in generated output
SOC 2 Type II, ISO 27001, GDPR, and CCPA compliance with zero data retention
MCP server, API, and CLI access for integration with Claude Code, Cursor, Codex, and Amp
IDE coverage across VS Code, JetBrains, Visual Studio, and a web app
Alternative tools
- W&B Weave
Trace, evaluate, and monitor LLM applications systematically
- Traceloop
OpenTelemetry-native tracing for LLM applications
- LangChain
The standard open-source framework for LLM applications
- Portkey
AI gateway with routing, guardrails, and prompt management
- Freeplay
Prompt management, evals, and observability for product teams
- DSPy
Declarative framework for programming and optimizing LLM pipelines