Ha ha! Thats true. I think this phrase resonated with me because I saw a similar case when I worked as a telecommunication engineer, and bosses decided to save on air conditioning and backup for them because "it has been working nicely for a month, what can go wrong"
Ranting about the capabilities of LLMs today is like ranting about the capabilities of the internet in 1995. If investment and progress continue at this pace, these tools will be unrecognizable in a few years. Young people will be asking themselves how we ever built anything without software engineering agents. "You mean you actually had to program each instruction into the machine?! Crazy!"
I share a lot of your concerns here - specifically, how do you build skills in an AI world (programer or otherwise) when we offload so much to AI. I ran into the first company in my engagements that is no longer hiring Jr or mid level developers, they are using AI to augment their existing staff and will hire only "senior" devs.
Look, as a Product Manager, I get it, every perfect date I have ever hand crafted from wishes and magic story points has been trod upon by some developer with facts and objective reality, robots are more pliable. However, AI has completely unlocked early prototyping for me. But any real app or architecture needs expertise.
I think we are going to need a reorienting of value to understand whats happening. Specifically- get developers out of the "other stuff" (helping customer support diagnose, random data questions, that salesforce connector that doesnt work, documentation, etc.) they do and make sure that expertise is focused on the hard problems of scaled architecture, deeper tech, and business logic.
These first companies may end up like you say, but i see them as canaries. The job market is pro-employer for the first time since the .com crash. Like it or not they have the room to experiment.
Firing your junior programmers is eating your seed corn. I don't think management at these companies understand what a programmer/software engineer actually does for them.
I understand the sentiment here, but you would have to assume that AI stays static and that recursive learning AGIs are not working on it and checking for everything.
> This is like firing your entire fire department because you installed more smoke detectors.
I think this one should be the reason number 1. Totally true and we have seen such cases before before AI.
Likewise.
I have personally experienced basically all I wrote about in real life :D
Ha ha! Thats true. I think this phrase resonated with me because I saw a similar case when I worked as a telecommunication engineer, and bosses decided to save on air conditioning and backup for them because "it has been working nicely for a month, what can go wrong"
Ahah we should start a blog of funny stories like those. Truth has never been so entertaining
Ranting about the capabilities of LLMs today is like ranting about the capabilities of the internet in 1995. If investment and progress continue at this pace, these tools will be unrecognizable in a few years. Young people will be asking themselves how we ever built anything without software engineering agents. "You mean you actually had to program each instruction into the machine?! Crazy!"
I share a lot of your concerns here - specifically, how do you build skills in an AI world (programer or otherwise) when we offload so much to AI. I ran into the first company in my engagements that is no longer hiring Jr or mid level developers, they are using AI to augment their existing staff and will hire only "senior" devs.
Look, as a Product Manager, I get it, every perfect date I have ever hand crafted from wishes and magic story points has been trod upon by some developer with facts and objective reality, robots are more pliable. However, AI has completely unlocked early prototyping for me. But any real app or architecture needs expertise.
I think we are going to need a reorienting of value to understand whats happening. Specifically- get developers out of the "other stuff" (helping customer support diagnose, random data questions, that salesforce connector that doesnt work, documentation, etc.) they do and make sure that expertise is focused on the hard problems of scaled architecture, deeper tech, and business logic.
These first companies may end up like you say, but i see them as canaries. The job market is pro-employer for the first time since the .com crash. Like it or not they have the room to experiment.
Firing your junior programmers is eating your seed corn. I don't think management at these companies understand what a programmer/software engineer actually does for them.
I understand the sentiment here, but you would have to assume that AI stays static and that recursive learning AGIs are not working on it and checking for everything.