ENRICH CODE SNIPPETS

Enrich your saved snippets with AI

Save code with Pieces and have it automatically enriched with AI. Receive suggested tags, searches, descriptions, and more. Track related people, based on Git history or who shared the code with you. Let Pieces detect sensitive information like API keys and flag personally-identifiable information.

Try Pieces for free

Trusted by individuals working for

Automatically enrich snippets with AI

Pieces understands code, so is able to enrich saved code snippets. When you save a snippet, Pieces will add a description, annotations, tags, and other details. If you save code from a GitHub repository, Pieces will capture the people who worked on it. If you save code from a website, Pieces will save that too. All these enrichments can be edited as needed.

Quickly find saved snippets wherever you are

Pieces has a blazingly fast code search engine available wherever you are that can find the snippets you need quickly. Search by enrichments, like people or descriptions, or search based on the code. Once you’ve found the code you need, you can transform it, add it into your project, or fire up a copilot chat.

Track related people

Pieces captures details about the people related to the code you are saving, so you can quickly connect with them if you need more details about a code snippet. If the code is captured from a file in a Git repository, Pieces will capture the details of everyone who contributed to just that code. If a colleague shares code using Pieces with you, their details will be captured when you save that code to your Pieces.

Share enrichments with your code

When you share code, all enrichments are shared too. This includes all enrichments that are generated with AI, along with everything you have added or changed manually. Once the recipient saves the snippet to Pieces, they get all your enrichments, allowing them to quickly find this snippet at a later date.

  • You need to try pieces out if you write code and feel that you need a true second brain, where you can basically store any function or code you've ever written and can use it again and again and again.

    Henry Rausch

    Quality Engineer @ FIC America Corp

  • Everyone's got a copilot. You're inverted, you've rotated the whole thing. It's not a vertical copilot, it's a horizontal one.

    Scott Hanselman

    VP of Developer Community @ Microsoft

  • Pieces Copilot has become much more efficient for any developer to ask any question and get a particular result. The LLMs in Pieces are sensitive to programming, so I think that gives better results.

    Ayush Kumar

    Data Analyst @ Accenture

  • I was playing around with live context, and just wow, I’m speechless. I mean, this is not just a coding assistant anymore, it’s a mentor that knows literally everything, a guardian angel.

    Domagoj Lalk

    CTO & Co-Founder @ Sparroww Inc.

1 million +

saved materials

17 million +

associated points of context

5 million +

copilot messages

Dive into the Pieces technical documentation to explore everything our platform offers

Explore

Learn how to optimize your workflow with Long-Term Memory, on-device AI, and switching between LLM

Find solutions to common issues

Access additional tools, SDKs, and APIs for advanced integration

DOWNLOAD FOR FREE

Add meaning and structure to your code snippets enriched with AI

DOWNLOAD FOR FREE

Add meaning and structure to your code snippets enriched with AI

DOWNLOAD FOR FREE

Add meaning and structure to your code snippets enriched with AI

Frequently asked questions

Can I edit the enrichments?

All AI-generated enrichments can be edited by you. For example, a popular manual enrichment is to tag a snippet by the project or team it comes from.

Can I edit the enrichments?

All AI-generated enrichments can be edited by you. For example, a popular manual enrichment is to tag a snippet by the project or team it comes from.

Can I edit the enrichments?

All AI-generated enrichments can be edited by you. For example, a popular manual enrichment is to tag a snippet by the project or team it comes from.

What details are stored about related people?

What details are stored about related people?

What details are stored about related people?

What models are used to enrich the snippets?

What models are used to enrich the snippets?

What models are used to enrich the snippets?