In 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…
Unshipped code can't break. How is it a liability and not an asset? The money maker is making money and the changes that potentially would interfere with that are held up at the gate. Seems like a good thing from a business perspective.
When everyone has AI and the company still learns nothing
101–110 of 298 posts
Re: When everyone has AI and the company still learns nothing
#102In 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…
"Hey we found this bug and-"
"We already found it with Claude, we're still waiting for out next release."
Or worse, its a bug that doesn't exist in prod, since the code keeps changing, and you wont know about the bug until its out there because there's one niche user with a niche use scenario everyone forgot or didn't even know existed, and he's going to somehow crash the entire system with your next deployment.
Re: When everyone has AI and the company still learns nothing
#103Re: When everyone has AI and the company still learns nothing
#104The post hits the nail on the head with the messy middle. There is simply no motivation to develop this sort of intelligence loop as a dev who has their own responsibilities which their job depend on. Management can ask as nicely as they want, but I’m not going to selflessly share my productivity gains with the broader company for free. I might share a tool if it’s useful. All the learning of how to wrangle AI or set…
>but I’m not going to selflessly share my productivity gains with the broader company for free. If your employer is expecting that you selflessly share your time for free, you’re getting fucked. Most people are paid to do their job. They are, of course, then expected to work for their employers while on the clock.
If they gave immediate raises or bonuses for stuff like this, then things would change.
Re: When everyone has AI and the company still learns nothing
#105Earlier quoted context omitted.
Almost certainly. Software firms are pretty bad at self-evaluation and they're profitable enough that Capitalism won't force them to do it either. Right now the subscriptions are still in the range of reasonable business expenses, but pretty soon they'll have to jump and $200/month/seat subscriptions turning into $2000/month/seat subscriptions is going to get even very badly ran companies to re-evaluate.
It's worse than that. Developers themselves are drunk. They'll be cut off from tools right when they no longer understand the underlying code they're responsible for. We're already here even. I know of a company that was doubling their Codex spend and hitting the cap week over week and finally they had enough and stopped increasing. Then they maxed out on credits and had a week of no Codex. A large percentage of the…
Re: When everyone has AI and the company still learns nothing
#106In 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…
> Large enterprises need to learn how to ship software faster They haven't even learned that "less code is better" yet, I wouldn't hold my breathe waiting for them to suddenly learn "more advanced" things like that before they learn the basics.
Re: When everyone has AI and the company still learns nothing
#107Earlier quoted context omitted.
Unshipped code can't break. How is it a liability and not an asset? The money maker is making money and the changes that potentially would interfere with that are held up at the gate. Seems like a good thing from a business perspective.
Code gets stale really fast. Re-gathering context and re-aligning on old code is sometimes more painful than starting from scratch.
Re: When everyone has AI and the company still learns nothing
#108Earlier quoted context omitted.
> Large enterprises need to learn how to ship software faster They haven't even learned that "less code is better" yet, I wouldn't hold my breathe waiting for them to suddenly learn "more advanced" things like that before they learn the basics.
Exactly. Everyone keeps talking about how much velocity they have with AI but no ones talking about quality for bugs that come from it. Just how fast they can ship.
Re: When everyone has AI and the company still learns nothing
#109> "Where is the ROI for the 2 mio € we paid Anthropic last year?" The bias in the assumptions here is absolutely bonkers. Problem: GenAI is not generating any visible return on investment. "Solution": rearrange your entire development organization around the technology and start inventing new tooling. What's entirely obvious is that the point of such articles is not the stuff they purportedly discuss, but the normali…
LLMs can't fail, they can only be failed ... by you!
Re: When everyone has AI and the company still learns nothing
#110In 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…
Finance folks reached out asking if they could vibe code their own app using Copilot/Cursor/Claude for finance planning purpose. And because they know my management freezes whenever there are whispers of "our CFO said so" they even paraded that reasoning - "our CFO "tested" Lovable and he is convinced and asking us to vibe code the app".
If that is not enough they ended with a nicely wrapped reasoning of "we need to try this to be sure that using vibe coded app can exist in enterprise finance with appropriate data security and maintainability".
And mind you this is a reasoning at a company with more than 20+ billion in revenue.