Pieces vs Cody
Two Coding AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
Pieces
pieces.app
Long-term memory for your developer workflow
Best forDevelopers who want a searchable, local-first memory layer across their tools
What it doesPieces is an AI memory and context tool for developers that automatically captures and organizes code snippets, documents, and chat across browsers and IDEs. It runs local-first for privacy and connects to LLMs such as Claude and GitHub Copilot via the Model Context Protocol.
Capabilities
Visit Pieces →- Automatic context capture
- Cross-app plugins for browser and IDE
- Local-first on-device operation
- Natural-language and time-based search
- MCP integration with LLMs
Cody
sourcegraph.com
AI coding assistant that uses development context to write and fix code
Best forDevelopers and teams who want code assistance grounded in their full codebase context.
What it doesCody is an AI coding assistant from Sourcegraph that uses current models together with codebase context to help developers understand, write, and fix code. It pulls context through Sourcegraph's search to surface APIs, symbols, and usage patterns across a codebase. It works in VS Code, JetBrains, Visual Studio, and a web app.
Capabilities
Visit Cody →- Chat with repository context
- Auto-edit contextual code changes
- Customizable and premade prompts
- Context filters for repositories
How to choose
Choose Pieces if you are developers who want a searchable, local-first memory layer across their tools. Choose Cody if you are developers and teams who want code assistance grounded in their full codebase context. Both sit in Coding; the right pick depends on your exact workflow and budget.
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