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Eric Platon
@ic
What is your experience with LLM-augmented colleagues at work? Mine is for now pretty much aligned with this: https://hbr.org/2025/09/ai-generated-workslop-is-destroying-productivity At the same time Google claims this week 90% of tech workers there use AI (did not look into the detail). https://ground.news/article/google-says-90-of-tech-workers-are-now-using-ai-at-work_2c7e21
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ananth
@ananthsridhar.eth
Sales call transcripts, internal meeting notes, follow ups etc., all have been on auto-pilot at work for me. It helps surface the most important thing/context for a given group, from marketing to engineering planning helping us focus and be aligned better. Also given my role in the middle of all of this, this has been helpful in buying me time to read/think about things that are more exploratory. Of course, it all comes down to "prompting" and clarity of purpose but I also think that's the most fun part for humans to think and reason about, other things are chore-y anyways. LLMs have also allowed some of our "physics" engineers that are less familiar with software engineering methods to prototype interesting interfaces etc., things that would have previously taken a pod of FE/BE/DevOps folks to do. Great for iterating quickly. I have also recently started using lovable to prototype mocks for our designer. Things that I would have written as boring PRDs that no one reads, can now be "demoed" and the information throughput therefore has vastly expanded..
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Eric Platon
@ic
Thanks for sharing. That resonates here too. Perhaps my OP is more about real custom piece of software that needs to be built, and recently ending up with slop that barely meets the requirements and never meets team standards, including sanity checks and style. Some LLMs work better than others or claim to check code is valid, but overall still pretty much littered with over-confidence (from the LLM, sometimes from colleagues :D)
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