Head-to-Head Comparison

Cody vs Pieces

Which Code Assistant is right for you? See our complete breakdown.

Cody

4/10 Visit Cody
VS

Pieces

5/10 Our Pick Visit Pieces
FeatureCodyPieces
MegaOne Score4/105/10
CategoryCode AssistantCode Assistant
Pricing ModelPaid OnlyFreemium
Starting Price$16,000.00/mo$19.00/mo
Free TierNoYes
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanySourcegraphMesh Intelligent Technologies, Inc.
Total Funding$223M$14M

Visual Comparison

Score Reach Value Team Funding Reviews
Cody Pieces

About Cody

Cody is an AI coding assistant that leverages Sourcegraph's code intelligence platform to help developers understand, write, and fix code faster.

Sourcegraph Cody is an enterprise AI coding assistant that utilizes Sourcegraph's code intelligence platform to provide context-aware assistance across entire codebases, including multiple repositories. It offers features like code autocomplete, chat-based explanations, custom commands, and autonomous agents for multi-step tasks, aiming to improve developer productivity and ensure architectural consistency.

About Pieces

Pieces is an AI-powered long-term memory and workflow copilot for developers, designed to supercharge efficiency by capturing and organizing work context.

Pieces is an AI-powered developer productivity tool that functions as a long-term memory layer for your development workflow, automatically capturing context from browsers, IDEs, terminals, and collaboration tools to make it searchable and reusable. It helps developers save reusable patterns, notes, commands, and implementation details, utilizing AI to resurface past work, summarize saved context, and connect relevant details. The tool runs on-device by default for privacy and supports multi-model LLM integration, including cloud providers like OpenAI and Anthropic, and local…

Pieces takes the edge

With a MegaOne score of 5/10 versus 4/10, Pieces edges ahead of Cody in our analysis. However, Cody may still be the better choice depending on your specific use case and budget.