BenchRank
#9 in Code AssistantsUpdated 2026-08

Cody

by Cody · AI coding assistant with context from local and remote codebases

BenchRank score

63.3 — BenchRank score out of 100

Screenshots of Cody

Homepage · Cody

Homepage of Cody

Overview

Cody is an AI coding assistant for VS Code, JetBrains, Visual Studio, the Sourcegraph web app and the command line. It uses Sourcegraph's Search API to pull context from local and remote codebases for chat, code completions, auto-edit suggestions, debugging and saved prompts. It is supported on Sourcegraph Enterprise and connects to code hosts such as GitHub and GitLab.

Best for
Enterprise engineering teams wanting an in-IDE AI assistant with context from their whole codebase
Pricing
No price is published for Cody on its own; it is supported on Sourcegraph Enterprise, which is listed as starting at $16K and sold through contact sales.
Runs on
Self-hostedCLI

Strengths and trade-offs

Strengths

  • Works in VS Code, JetBrains, Visual Studio, web and CLI
  • Pulls context from local and remote repos via Sourcegraph Search API
  • Context Filters exclude chosen repos from chat and autocomplete
  • Chat, auto-edit and reusable custom prompts in one assistant

Trade-offs

  • Enterprise-only: no free or self-serve tier shown in the text
  • Sourcegraph Enterprise starts at $16K, quoted only via contact sales
  • Visual Studio extension is marked experimental
  • Sourcegraph collects prompts and responses to provide the service

Pricing

Published plans and prices from Cody’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Pricing transparency

    Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The Cody pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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