Christoph Nakazawa's Retrospective: Building a Framework with LLMs
cnakazawa · x · 2026-08-06
Engineer Christoph Nakazawa shares his journey of developing fate.technology, highlighting the current limitations of Large Language Models (LLMs) in writing complex algorithms.
Key Takeaways:
- LLM Limitations: Early in the project, he found that LLMs couldn't correctly implement many core algorithms and often generated large amounts of non-functional code.
- Human Intuition Wins: During a delayed flight diverted by a thunderstorm, he spent two intense hours coding without internet or AI assistance, successfully getting the initial version working end-to-end.
- Human-AI Collaboration: With the core logic figured out by a human, he spent the next month using an LLM to finish the development, eventually applying it to all his subsequent web/UI projects.
The post vividly illustrates the optimal intersection between human deep thinking and LLM-assisted development in the current era of AI coding.
Related event: Developer Reflects on LLM Limitations in Complex Algorithms(2 posts)→
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