Awesome LLM Apps
A large collection of working open source applications built on language models, with source you can read, run and take apart. Reading a complete small application teaches more than a dozen tutorials.
Community
AI & Machine Learning
Shubham Saboo
Ongoing reference
Intermediate
Free
What it is
A curated repository of runnable AI applications covering retrieval systems, agents, multi agent setups, local model applications and domain specific tools, each with source code.
Why complete applications teach better
Tutorials show a clean path through one feature. Applications show the parts nobody writes tutorials about: configuration, error handling, the retry when the model returns unparseable output, the caching that makes the cost bearable. Those are the parts you need.
How to use it
Find one close to what you are building, run it, then deliberately break it and fix it. As with any curated list, quality varies between entries, so read the code before trusting the approach.
Best for: engineers who learn by dismantling working examples.
Ready to start?
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Stuck on something specific?
Writing only gets you so far. If you want an answer to your situation rather than the general case, book a session and we will work through it together. Every session is free; a few slots open each week.
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New writing, resources and project ideas land here first.