It's hard to tell from the internet what can one do with LLMs at their workplace. This blog tries to cover the current options and challenges

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LLMs work well for simple tasks with no side effects (bug fixes, isolated features) and complex greenfield projects (new apps, microservices). They struggle with tasks that have unknown side effects, even simple ones like renaming attributes in tightly coupled systems. The key to effective LLM adoption is recognizing which tasks fall into the "simple and closed loop" quadrant, teaching models about side effects when possible, and decoupling systems to reduce open-loop scenarios. Focus on mastering current tools for solvable problems rather than chasing hype.

Getting Real With LLMs