alt Hacker NewsBottleneck for what? More features?
I don't think amount of software is what determines whether a company does well.
I don't think capturing quantity of context is that important either.
Now, quality of context. How well do the humans reason?
Then, attitude. How well do the humans respond to bad situations?
Then, resource management. How well does the company treat people and money?
Finally, luck. How much of the uncontrollables are in our favor?
Those are pretty good bottlenecks for a company. I doubt an agent is fixing any of those. At least any time soon.
Replies
> Bottleneck for what? More features?
Code changes. Not necessarily features, but also bug fixes, plain old maintenance, and even refactoring to improve testability.
With AI coding assistants, what in the past were considered junior dev tasks are now implemented with a quick prompt and an agent working in the background.
These junior dev tasks are now effortlessly delivered by coding assistants, with barely any human intervention. Backlogs are cleared faster than new items are added. And new items are added more and more because capacity to clear them is no longer an issue. The challenge is now keeping up with the volume of changes. I see this first-hand at my org.
> Those are pretty good bottlenecks for a company. I doubt an agent is fixing any of those. At least any time soon.
Just because you can think of other bottlenecks that doesn't mean that generating code was not a bottleneck, and is not the bottleneck today. The mere notion of a backlog demonstrates that it is a bottleneck.
For business, software applications are tools that facilitate "the thing" that generates money. (We in the software world think that _thing_ is software and software _features_, but outside that world, there's usually a different _thing_.)
The bottleneck for making software applications better at being used by (non-software) businesses is making sure the software does all the software things that actually benefit the business. Save time. Make humans more productive. Reduce human error. Make the business more efficient. Increase profit margins.
All of those things are a bit difficult to predict and quantify. You start with ideas of what might help the business, you maybe design, prototype, trial. Ultimately you build or enhance software applications, and try to measure how well they're making the business better.
In all of this, making sure software is addressing the right problem in the right way, and ultimately making the business better - that's a hard problem! Regardless of how fast and easy it is to make software.
But yes, the speed can really help. You can prototype and trial and improve the feedback loop.