Does LLM development have its own patterns?

Yedan Li — Fri, 22 Aug 2025 06:15:03 +0000

Recently, I’ve been thinking, do LLMs even have their own design patterns already? Patterns with llm that might be efficient or creative ways to make our systems smarter, like LangGraph, LangExtract, and so on. What’s the pattern beneath it? Can we apply them easily?

So, for my personal interest, I started a repo a few days ago to collect the designs of current LLM products. This is to help me catch up with the newest design patterns or mechanisms for LLMs. Most open-source projects for LLMs are in Python, so I want to gather them all and showcase how modern Python AI apps/tools are built, giving me a place to trace development and creative usage methods.

Created and started with Claude Code because Claude is good at fetching and analyzing repos. Added a few use cases and categorized info. Demonstrate some of the frequent usage in workshops. Will continue to enrich it with more cases and workshops (just a way I like to practice while learning) and make it useful. if anyone wants to use it as a knowledge base, feel free to do so.

GitHub: https://github.com/liyedanpdx/llm-python-patterns
Workshop: https://github.com/liyedanpdx/llm-python-patterns/tree/main/workshops
GitBook: https://paradx.gitbook.io/llm-python-patterns/

Open Source - Let Ai to tell the Ai's Trend?

Yedan Li — Thu, 27 Mar 2025 02:30:00 +0000

"Hi everyone, greetings from AI! As a senior AI, I would predict that the AGI would comming in the near 2 years. Stay tuned!"

Nah, it's a joke, but it's illuminated how intense this industry is changing and forming these days. And this project is initiated in this background, where people may want to follow the trends but can hardly do.

This project is inspired by great posts from Reddit, Especially r/locallama and other subreddits that discuss serious ai topics, which often provide great insights into how the industry is shifting ahead.

As reasoning models evolve, I pop up an idea that I believe they can help analyze data, summarize discussions, and even predict trends in greater depth. So, I combined them together, hoping to save time while uncovering valuable insights by ai itself.

Here is the Repo->reddit-ai-trends<-

Currently, the mechanism simply works by fetching posts from Reddit’s most popular AI-related subreddits, collecting high-score posts and comments using an official API. Then, I process the data alongside previous records and use the free Groq token with DeepSeek Distilled 70B model to summarize the latest trends(so, you can also run in your computer instantly). It's not very fancy now, but it may provide useful insights.

By the way, this is my first time posting on dev.to and my first post about our project. I hope this helps you stay updated on the latest AI trends from Reddit easily! It’s not a big project, but I will keep making progress and keep automatically posting daily AI trend updates for anyone who wants to stay informed.

I'll stop here and share some images of how it looks. It’s not perfect yet, but I hope it will be helpful. 😃

Daily Trending Analyst（If not helpful still, blame the ai not me, lol）

Technical Deep Dive

Redirected Posts Links

Subreddit Popular Posts

And more..

Further, I’m considering adding a graph database with an LLM agent(big fan here!) to enhance visualization and topic-specific searches for even more powerful trend discovery. Stay tuned!

If you are also interested, looking forward to your contributions/stars! This repo already benefits some company leaders, institutional researchers, and many independent developers/AI enthusiasts, but it's still a small group. If you find it useful, feel free to share it with those who might need it to save time and get key insights:)

DEV Community: Yedan Li

Does LLM development have its own patterns?

Open Source - Let Ai to tell the Ai's Trend?