Same at my company. The frustrating part is they want us to use coding assistance, which is fine, but I really don’t code that much. I spend most of my time talking to other teams and vendors, reading docs, filing tickets, and trying to assign tasks to Jr devs. For AI to help me with that I need to either type all of my thoughts into the LLM which isn’t efficient at all or I need it to integrate with systems I’m not allowed to integrate with because there are SLOs that need to be maintained (i.e. can’t hammer the API and make others experience worse).
So it’s pretty much the same as it’s always been. Instead of making a gallon of lemonade out of one lemon I need to use this “new lemonade machine” to start a multinational lemonade business.
But I manage a team of embedded developers. On a specialised commercially restricted embedded platform.
AI does not know a thing about our tech. The stuff it does know is either a violation of the vendors contractual covenants or made up bullshit. And Our vendor’s documentation is supplemented by a cumulative decades of knowledge.
The key highlight being: you don’t need more than a gallon of lemonade. I for once wished big corps heard their engineers and domain experts over wall street loving exec’s.
Same at my company. The frustrating part is they want us to use coding assistance, which is fine, but I really don’t code that much. I spend most of my time talking to other teams and vendors, reading docs, filing tickets, and trying to assign tasks to Jr devs. For AI to help me with that I need to either type all of my thoughts into the LLM which isn’t efficient at all or I need it to integrate with systems I’m not allowed to integrate with because there are SLOs that need to be maintained (i.e. can’t hammer the API and make others experience worse).
So it’s pretty much the same as it’s always been. Instead of making a gallon of lemonade out of one lemon I need to use this “new lemonade machine” to start a multinational lemonade business.
Ditto.
But I manage a team of embedded developers. On a specialised commercially restricted embedded platform.
AI does not know a thing about our tech. The stuff it does know is either a violation of the vendors contractual covenants or made up bullshit. And Our vendor’s documentation is supplemented by a cumulative decades of knowledge.
Yet still “you gotta use AI”.
The key highlight being: you don’t need more than a gallon of lemonade. I for once wished big corps heard their engineers and domain experts over wall street loving exec’s.
Why would they do that? If they’re making better quarterly results by listening to Wall St, that’s what the system tells them to do.