SIDE-BY-SIDE COMPARISON

CompareContinuevsSourcegraph Cody

Review features, pricing signals, strengths, and trade-offs before choosing.

Generated from current catalog profiles Catalog profile signals Use-case comparison
AI Code Review & Quality Software

Continue

SF 8.0

Continue runs source-controlled pull request checks

From $3/moUsage Based

Quick decision guide

Choose based on your workflow

Continue may fit better if...

  • AI Checks
  • Policy Reviews
  • Suggested Diffs

Sourcegraph Cody may fit better if...

  • Code Search
  • Repository Answers
  • Enterprise Context

Overview

How each tool is described

Continue

Continue is an AI code review and quality platform for teams that want source-controlled checks on every pull request. Instead of positioning only as a chat assistant, it lets engineering teams define standards as repository files, run agents in CI, and surface suggested diffs when checks fail. Its main strength is turning review expectations into repeatable, inspectable AI workflows inside normal engineering delivery pipelines.

Continue fits teams that want enforceable pull request standards, shared review logic, and human approval over AI suggestions. It is less ideal for buyers expecting only autocomplete or a simple IDE chat tool. Teams should validate GitHub integration, model costs, check design, and developer acceptance. The product can improve review consistency, but standards need careful writing and maintenance across active repositories and distributed teams.

View full Continue profile

Sourcegraph Cody

Sourcegraph Cody is a codebase-aware assistant connected to Sourcegraph's broader platform for understanding, searching, and evolving large repositories. It helps developers ask questions about code, trace symbols, and use context from local or remote projects. Its main strength is repository understanding, especially where teams manage large shared codebases. Buyers should measure whether Cody reduces investigation time without weakening review accountability inside large repositories first.

Sourcegraph Cody fits enterprises already evaluating Sourcegraph for code search, governance, and large-scale code intelligence. It is less suitable for small teams needing a simple low-cost assistant or users expecting standalone consumer pricing. Buyers should confirm current availability, Enterprise requirements, editor support, and whether Cody remains the right Sourcegraph AI path. Enterprise buyers should link Cody answers to documented review and governance routines early.

View full Sourcegraph Cody profile

Side-by-side

Key differences

Criteria
AI Code Review & Quality SoftwareContinue
AI Coding Assistant SoftwareSourcegraph Cody
Best for
AI Code Review & Quality Software
AI Coding Assistant Software
Score
8.0/10
8.2/10
Pricing
From $3/mo
Contact sales
Category / audience
AI Development & Coding Software › AI Code Review & Quality Software
  • AI checks
  • pull request review
  • quality control
AI Development & Coding Software › AI Coding Assistant Software
  • enterprise ai
  • code search
  • codebase context

Feature check

Side-by-side feature check

Feature
Continue
Sourcegraph Cody
AI ChecksRuns source-controlled agents on pull request changes
-
Policy ReviewsEnforces team standards through human-approved AI checks
-
Suggested DiffsProposes fixes when checks detect reviewable issues
-
CI IntegrationSurfaces results as GitHub status checks automatically
-
Shared AgentsStores review logic inside repositories for reuse
-
Model ChoiceLets teams configure models per workflow requirement
-
12 capabilities compared.12 differentiating rows are shown first.

Use cases

Who they're built for

Continue

  • Pull Request ChecksRun AI reviews as source-controlled repository checks
  • Engineering Standards EnforcementConvert team expectations into repeatable AI checks
  • Suggested Fix ReviewInspect generated diffs before accepting proposed remediation
View full Continue profile

Sourcegraph Cody

  • Large Codebase SearchAnswer questions across complex repositories and monorepos
  • Symbol Trace WorkFollow dependencies usages and ownership paths quickly
  • Enterprise Onboarding HelpExplain unfamiliar systems for distributed engineering teams
View full Sourcegraph Cody profile

The trade-offs

Pros & cons of each tool

Trade-offs

Continue

Pros
  • Repository stored checks support team governance
  • AI review rules remain version controlled
  • Useful for repeatable pull request standards
Cons
  • Primary focus shifted toward PR checks
  • Teams must maintain repository check rules
  • Coding assistant expectations may need resetting
Trade-offs

Sourcegraph Cody

Pros
  • Excellent for large codebase understanding work
  • Search context strengthens answers across repositories
  • Enterprise controls fit scaled engineering organizations
Cons
  • Best value depends on Sourcegraph adoption
  • Enterprise pricing requires direct sales conversations
  • Smaller repositories may not justify complexity

Final verdict

Best fit depends on your workflow

Catalog verdict · medium confidence

Current catalog data shows meaningful overlap between Continue and Sourcegraph Cody. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.

Differentiators available

Continue has 4 visible decision signals and Sourcegraph Cody has 4.

Score signal

Sourcegraph Cody has the higher SoftFinders Score in the current catalog data.

TRY THEM YOURSELF

See which one fits your workflow

Both tools have their strengths, the best way to decide is to spend a few minutes inside each.