<ul><li>The author embarked on creating a CLI for an API using a Large Language Model (LLM) and Python, facing challenges with client generation and project organization.</li><li>The use of Bandit, a static linter for Python, surprisingly found no issues with the code generated by the LLM, highlighting the potential simplicity of dynamic JSON reading.</li><li>Despite progress in implementing API endpoints, the project lacked structure and required a solid testing framework, emphasizing the need for clear direction and communication with the LLM.</li><li>The experience shed light on the gap between functional prototyping and polished application release, underscoring the importance of human intervention, problem understanding, and effective collaboration with LLMs.</li></ul>

Trying to get s*** done with an LLM

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