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AI · October 2, 2024

OS

Open-source library documentation for LLMs

Docs.codes generates simple markdowns for open-source libraries that you can add to the context of your LLM assistants, helping them generate better code. Here's a quick walkthrough with pypi/mem0ai as example: https://youtu.be/SKZol8G_tIE LLMs struggle with generating correct code when using lesser-known libraries or dealing with major version changes that happen after their training cutoff. With these markdowns, you can ensure that your LLM chat/coding assistants have up-to-date knowledge of the library's API and usage patterns. We built this using the latest…

Open-source library documentation for LLMs launched on October 2, 2024 with 12 votes, #1,072 of 5,185 launches that month and more than 75% of that year's launches.

Visit docs.codes ↗Alternativestop 21% of October 2024

In plain words

Docs.codes generates simplified markdown documentation for open-source libraries that can be added to large language model context windows. This helps AI coding assistants generate more accurate code when working with lesser-known libraries or packages that have been updated after the model's training data cutoff. The tool currently supports npm and PyPI packages, converting library documentation into formats optimized for LLM consumption and providing up-to-date API reference materials for developers using AI-assisted coding tools.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Docs.codes generates simple markdowns for open-source libraries that you can add to the context of your LLM assistants, helping them generate better code. Here's a quick walkthrough with pypi/mem0ai as example: https://youtu.be/SKZol8G_tIE LLMs struggle with generating correct code when using…

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