Christopher Grainger on LangGraph
Elixir Mentor
Navigating AI's Role in Software Development
This chapter examines the evolving landscape of language models, emphasizing the advantages of smaller, specialized models over large generic ones. It discusses the D-SPY framework from Stanford, the sustainability challenges of LLMs, and highlights the critical balance between AI efficiency and the necessity of human oversight in programming. Furthermore, the conversation explores effective AI tool usage in coding practices, the significance of planning unit tests, and the importance of maintaining critical programming skills.
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