Repo-aware
Understands your codebase via semantic and structural search.
Quick info about Cody by Sourcegraph
Productivity
Generates tests, docs, and refactor suggestions.
Integrations
Works in editors and with CI/CD workflows.
Is this the right AI tool for you?
0 / 500
Where Cody by Sourcegraph shines
Cody is Sourcegraph’s AI code assistant that understands your entire codebase. It answers questions with references to real files, suggests changes, writes tests, and helps navigate large monorepos. Teams choose Cody when they want repo-aware chat and completions with strong search under the hood.
Common use cases:
Ask natural-language questions about a large repo and get cited answers
Generate or explain code with file-level and symbol awareness
Write tests and migration scripts that reference real paths
Summarize pull requests and propose review notes
Onboard faster by asking “how does X work?” and jumping to definitions
Ask natural-language questions about a large repo and get cited answers
Generate or explain code with file-level and symbol awareness
Write tests and migration scripts that reference real paths
Summarize pull requests and propose review notes
Onboard faster by asking “how does X work?” and jumping to definitions
What Cody by Sourcegraph adds to code search and understanding
Cody is a coding assistant that sits on top of Sourcegraph’s code graph so it can answer questions using the actual repositories, symbols, and references your company maintains. Instead of guessing from public patterns, Cody retrieves definitions, usages, docs, and commit history from your code, then composes answers that cite the files it read. In practice this means you can ask how a function is used across services, why a migration changed a type, or where an error originates, and get a grounded response that links directly to the relevant lines. The assistant can draft small patches and tests and can explain code paths while respecting repository permissions and branch context.
Where Cody shines and how to keep outputs reliable at scale
Cody excels in monorepos and multi service estates where navigation is half the battle. When embeddings and search are kept current, the assistant finds the right files and produces answers that feel like a senior engineer’s tour through the codebase. Teams that maintain clear docstrings, readme files per service, and stable patterns in configuration see better results because Cody can anchor replies in those conventions. Generated diffs should remain small and focused, landed on feature branches, and reviewed through normal pull request flows. When the question spans several layers, ask for a map with entry points, cross service calls, and data models so you can test the reasoning against reality before shipping changes.
Limits to consider and governance for security and compliance
Cody is not a replacement for design work, threat modeling, or performance testing. It can still overfit to misleading names or stale comments if hygiene slips. Administrators should enforce repository permissions, control which code is indexed, and monitor audit logs for retrieval and chat usage. Secrets do not belong in prompts or commits, and generated code should pass the same static checks and reviews as any other contribution. With current indexes, clear patterns, and normal engineering gates, Cody turns sprawling code into something you can interrogate with confidence.
Our view on Cody by Sourcegraph for code intelligence with memory
We like Cody because it answers with your code rather than with a guess and because it provides links that let reviewers verify every claim. We do not like large unreviewed edits that bypass tests and code owners, and we do not recommend using it to invent architecture from whole cloth. It could be better with stronger visual maps of dependencies and with policies that bind the assistant to approved directories by default. The most useful effect is faster onboarding and triage, since questions that once took a morning of grepping now take minutes. Security posture is strong when repository permissions and indexing scopes are set with care. Cody is for engineering teams with enough surface area to get lost in. Its strength is grounded answers from your code graph. Its weakness is the need for disciplined hygiene so retrieval points to the truth.
Our verdict:
Cody is a dependable guide through complex repos. Use it to navigate, explain, and propose small changes, while keeping human review and tests in charge of safety and quality.
Cody is a dependable guide through complex repos. Use it to navigate, explain, and propose small changes, while keeping human review and tests in charge of safety and quality.
At a glance
Coverage & data
Sources
- Your indexed repositories
- symbols
- commit history
- and file contents
- embeddings for search.
Coverage
Repo-aware reasoUpdate frequency
FrequentPlans & limits
Free plan
Individual limits on context and requests; team features require paid plans.
Pro features
Org-wide indexing, admin controls, policy settings, audit logs, and higher context windows.
Ads / tracking
YesCommunity signal
Mentions
Adopted by teams with large codebases for repo-aware chat and PR summaries; common in monorepo setups.
Compared to similar tools
Cody pairs LLMs with Sourcegraph search to ground answers in your repo. Copilot is broadly integrated in editors; Codeium focuses on speed and privacy; Tabnine offers on-prem completions.
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