🔗 Stop programming in Markdown

Amidst the rising hype around AI, particularly LLMs, companies misuse these tools in scenarios where traditional code is far superior. This translates to programming in Markdown, relying on LLMs to interpret logic with slow, costly, and insecure performance. Tasks often solvable with straightforward code are overcomplicated by using prompted LLMs. Examples like automating e-commerce returns illustrate a misuse of LLMs when simple code suffices. Additionally, the allure of LLMs often stems from their ability to simplify interactions, making them tempting despite their inefficiencies. The article emphasizes the need to resist using LLMs needlessly and to leverage traditional programming for common business processes. It calls for a reevaluation of when and how LLMs should be integrated into systems, pointing out the risks and inefficiencies of relying on them when simpler solutions exist.