Pieces provides an OS-level long-term memory engine that automatically saves and indexes code snippets, documentation, and workflow context across applications. This persistent memory allows users to retrieve specific information using time-based queries and natural search across their work history. The platform integrates with developer tools and LLMs, offering local-first data control for enhanced workflow efficiency.
Funding
$14.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developers often struggle with context switching and losing track of code snippets, notes, and other resources across various tools and projects. This leads to duplicated effort, reduced productivity, and difficulty in maintaining a cohesive understanding of their workstreams over time.
Solution
Pieces is an AI-powered platform designed to capture and manage the entire developer workstream, providing long-term memory for code snippets, notes, and context from various development environments. By integrating with IDEs, browsers, and collaboration tools, Pieces automatically saves code snippets and associated metadata, making them easily searchable and accessible. The platform leverages on-device AI to understand code, suggest relevant resources, and enable developers to quickly resume previous tasks, reducing context switching and improving overall productivity. Pieces processes data locally, ensuring enhanced security and control over sensitive code.
Target Audience
The primary target audience includes software developers, data scientists, and other technical professionals who need to manage code snippets, maintain context across projects, and improve their overall productivity.
Features
- Automatic capture of code snippets, notes, links, and conversations from IDEs, browsers, and terminals
- Local, on-device AI processing for enhanced security and data privacy
- Integration with leading cloud and local Large Language Models (LLMs)
- Intelligent code understanding and suggestion of relevant resources
- Snippet management with organization and sharing capabilities
- Long-term memory context, allowing developers to easily pick up where they left off
- Cross-platform support with plugins for VSCode and other popular IDEs