Pieces for Developers

Pieces for Developers solves a problem every developer knows: you find a useful snippet, solution, or reference, use it once, and then can't find it again when you need it. Pieces is purpose-built to be your persistent developer memory.

Core Concept: Enriched Snippets

When you save code to Pieces (via IDE plugin, browser extension, or desktop app), Pieces automatically enriches it:

• Language detection — automatically tagged by programming language
• Description generation — AI writes a plain-language description of what the code does
• Context capture — records the source URL, file, and project context
• Tag suggestions — suggests relevant tags for retrieval
• Related links — captures StackOverflow question, GitHub issue, or documentation page the snippet came from

This context is what makes retrieval powerful: search for "JWT validation" and find not just code that says JWT, but code you saved from an authentication implementation in a specific project.

On-Device AI (Privacy-First)

Pieces runs a local language model on your device. Unlike cloud-dependent tools, your code never leaves your machine — critical for developers working with proprietary code, client data, or security-sensitive implementations.

The local model handles:

• Long-term memory — answer questions about code you saved weeks ago
• Semantic search — find snippets by what they do, not just literal keywords
• Context-aware suggestions — recommend saved snippets relevant to what you're working on now

Workflow Integration

IDE Plugins — VS Code, JetBrains, Neovim, Sublime Text. Save snippets with a right-click without leaving your IDE. Pieces surfaces relevant saved snippets as you type.

Browser Extension — save code from StackOverflow, GitHub, MDN, or any documentation page directly to Pieces with one click.

Copilot — chat with Pieces about your saved snippets. Ask "what was that Redis caching pattern I saved last month?" or "show me all my authentication code." The AI answers from your personal code library.

Use Cases

• Research accumulation — save solutions from debugging sessions; find them again months later
• Team knowledge sharing — shared snippet libraries across a team, so established patterns don't get re-implemented
• Context capture — preserve not just the code but where it came from and why it was useful
• Onboarding — new team members search the shared library to understand established patterns

Pricing

Free tier with local AI. Pieces Pro unlocks additional cloud sync and collaboration features.