Six questions before you add an LLM
This article argues against the reflexive adoption of LLMs in software engineering, using the author's failed attempt to automate lead generation as a case study. It emphasizes that AI should be treated as a specific tool for solving defined problems rather than a universal solution.
Why it matters
It provides a pragmatic, cautionary perspective for engineering leaders pressured to adopt AI without clear use cases.
Software Engineering Machine Learning Programming Technology Should you even use an LLM? Cameron Palmer 7 min read · 3 hours ago --
I had a problem: as an AI implementation consultant, I had no automated pipeline to discover and qualify leads and insert them into my self-hosted Twenty CRM instance. I thought I could solve this whole problem using LLMs.
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