Comment by stouset
12 hours ago
> No matter where I look, up and down the stack, across different OSes and tech stacks, there are bugs.
I’m not sure I’d go quite as far as GP, but they did caveat that we often choose not to write software with few bugs. And empirically, that’s pretty true.
The software I’ve written for myself or where I’ve taken the time to do things better or rewrite parts I wasn’t happy with have had remarkably few bugs. I have critical software still running—unmodified—at former employers which hasn’t been touched in nearly a decade. Perhaps not totally bug-free, but close enough that they haven’t been noticed or mattered enough to bother pushing a fix and cutting a release.
Personally I think it’s clear we have the tools and capabilities to write software with one or two orders of magnitude fewer bugs than we choose to. If anything, my hope for AI-coded software development is that it drops the marginal cost difference between writing crap and writing good software, rebalancing the economic calculus in favor of quality for once.
> I’m not sure I’d go quite as far as GP, but they did caveat that we often choose not to write software with few bugs. And empirically, that’s pretty true.
Blame PMs for this. Delivering by some arbitrary date on a calendar means that something is getting shipped regardless of quality. Make it functional for 80% of use, then we'll fix the remaining bits in releases. However, that doesn't happen as the team is assigned new task because new tasks/features is what brings in new users, not fixing existing problems.
I don’t disagree but is the alternative unbounded dev where you write code until it’s perfect? That doesn’t sound like a better business outcome. The trade off can’t be “take as long as you want”
“The alternative is that nothing will ever get released because devs will take forever making it perfect” is a really lame take.
We have literally countless examples of software that devs have released entirely of their own volition when they felt it was ready.
If anything, in my experience, software that’s written a little slower and to a higher standard of quality is faster-releasing in the long (and medium) run. You’d be shocked at how productive your developers are when they aren’t task-switching every thirty minutes to put out fires, or when feature work isn’t constantly burdened by having to upend unrelated parts of the code due to hopelessly interwoven design.
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I think PMs fail to understand categories of change in terms of complexity because they focus on the user facing surface and deal in timelines. A change that brings in a big feature can be straightforward because it perfectly fits the existing landscape. A seemingly trivial change can have lot of complexities that are hard to predict in terms of timelines.
There is also the angle of asking for estimate without allocating time for estimation itself.
For lack of a better word, I think it should drive from "complexity". Hardness of estimate should be inversely proportional to the complexity. Adding field to a UI when it is also exposed via the API is generally low complexity so my estimate would likely hold. We can provide estimate for a major change but the estimate would be soft and subject to stretch and it is the role of the PM to communicate it accordingly to the stakeholders.
Some coding doesn't fit your schedule. If you've scheduled 2 weeks, but it takes 3, then it takes 3. Scheduling it to take 2 does nothing to actually make the coding faster.
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