If you're a regular engineer like me, there's no real upside to using AI in a company setting. They're boiling us. Of course, the HN elite (investors, execs, celebrities, and top-tier engineers) will say otherwise because "how can you be against innovation man?" AI/LLMs aren't innovation the way TCP/IP, linux, or postgres were. To be clear: claude/codex/gemini/grok/whatever exist for profit, to squeeze the last drop…
There’s an engineering story of being abused by capitalists, but from an Executive perspective the whole thing strikes me as insane except for ‘next quarters bonus’. Anyone remember what SCO did to the industry as it went under? The part I still don’t get is where Enterprises are dumping internal ‘secrets’ (code, processes, customer needs, internal politics, leadership dreams), into the hands of startups and untrustw…
When everyone has AI and the company still learns nothing
241–250 of 298 posts
Re: When everyone has AI and the company still learns nothing
#242Re: When everyone has AI and the company still learns nothing
#243Earlier quoted context omitted.
There’s an engineering story of being abused by capitalists, but from an Executive perspective the whole thing strikes me as insane except for ‘next quarters bonus’. Anyone remember what SCO did to the industry as it went under? The part I still don’t get is where Enterprises are dumping internal ‘secrets’ (code, processes, customer needs, internal politics, leadership dreams), into the hands of startups and untrustw…
What is sco?
Re: When everyone has AI and the company still learns nothing
#244Re: When everyone has AI and the company still learns nothing
#245Re: When everyone has AI and the company still learns nothing
#246Re: When everyone has AI and the company still learns nothing
#247Earlier quoted context omitted.
I see this take all the time, but hiring a junior/intern has never been great ROI, so I hear. Why did we ever do it in the past? Its not like it was ever likely that hiring a junior means getting an employee for life. Could it be that the economic and shareholder pressures are requiring this rather than it being a logical thing?
Anecdotal counterpoint, the best teams I've been on have always had a good mix of a couple of really senior/decent intermediate people and a few either totally fresh grads or juniors (at the beginning of the project). Those fresh people have a good chance of becoming pretty formidable pretty quickly with the right mentoring, and without them seniors have a tendency to just remain experts on whatever tech stack they'r…
I’ve only had 1-2 juniors who “didn’t get any better” compared to the scores of senior engineers I wouldn’t trust to anything on their own.
Most juniors with investment from the organization and senior engineers will become competent quickly. That will eventually free up seniors.
Re: When everyone has AI and the company still learns nothing
#248Earlier quoted context omitted.
Why would I buy power meters and mess around with indirect signals that don't measure what I want (how much time is left on the cycle) and instead just tell me whether it's running? I already have an old webcam and raspi I'm not using, and they measure exactly what I care about.
> how much time is left on the cycle Ooh, new requirement! Set timer on phone when setting timer on machine...
Re: When everyone has AI and the company still learns nothing
#249In my large enterprise world, AI adoption hasn't made it outside of the development teams - only developers have access to Github Copilot. Code takes 6-12 months to make it from commit to production. Development speed was never the bottleneck; it's all the other processes that take time: infra provisioning, testing, sign-offs, change management, deployment scheduling etc. AI makes these post-development bottlenecks w…
> Code takes 6-12 months to make it from commit to production. That seems wild, niche/highly specialized field?
PayPal started greenfield so they baked the qualification and consistency checks into the process and had it automatic. banks ho ooops.
Same for Tesla: they created a hand over free code to (testing) road flow. and they were capable of thinking like that because their roots are software.
GP below confirms traditional finance.
Re: When everyone has AI and the company still learns nothing
#250Earlier quoted context omitted.
> story points = number of days to implement Some variant of this has been the case in every agile team I've ever worked on.
No one's ever been able to explain story points to me without saying something like "Story points are kind of like how long it will take to implement, except it's not that". So what is it then? All the explanations and examples are in units of time, but with a disclaimer saying that the true nature of story points is not time-based, except for the fact that they can only be explained in terms of time.