[ukj]

A competent project manager in this undustry also understands that software engineering is not plumbing.

And the variance in effort due to lack of standardization, technical intricacy and hidden complexity is orders of magnitude greater than plumbing so our initial estimates always suck. Most competent proffessional in this insdustry know that nobody knows how to do accurate time estimates on delivering complex software projects, so why don't you know this and why do you want me to lie to you about the crudeness of my estimates?

Frankly, I've worked with hundreds of managers too and you sound difficult to work with. You seem to have unreasonable expectations that are impossible to manage with facts.

[vasco]

I'd say that my teams tend to meet the goals we set for ourselves (lol biased) without spending that long on estimation. We have an idea of our normal throughput and can use that to be somewhat accurate, and nobody gets shit if something ends up being harder than what we thought it was from our investigation, sometimes there are truly new things that are harder to predict. In those cases we take smaller chunks out of the big problem and focus on that first.

Anyway thanks for the advice on how it came across, I struggle with how to give this sort of view on things without coming across judgemental and I guess I failed here again, but I was honestly trying to say that I've seen your view shared before and I think the difference between you and other engineers that tend to be easier to work with isn't skills, it's just a slight difference in approach. But there's many different dystopian teams with unreasonable expectations for me to say that I'd think any different had I had the same teams and bosses that you had. Take care!

[gemstones]

Eh, for the majority of cases, software engineering is more like plumbing than like R&D. There are exceptions, like building a new DB, or similar. But if the tools you need to solve the problem are postgres + Django + react, there shouldn't really be that much hidden complexity for you to uncover.

[ukj]

So the domain model has already been made explicit and is implemented for you? All the design choices have been removed from you? You don’t have to do any actual software engineering - just extending business logic? That’s nice.

Your trivialization of the complexity is laughable.

The tools are "standard". The data models aren’t.

It's like plumbing alright. With random, unknown substances in the pipes.

[gemstones]

Plumbers don't get to decide how the pipes were laid out in the houses they come and work in, either - technically those are unknowns that could throw off a job. Doesn't mean it would be professional of them to insinuate that the variation in each individual building means they can't give a good faith estimate for a job.

[ukj]

It means exactly that.

Software industry estimates are way off the mark compared to plumbing industry estimates.

People who don’t like this fact refuse to understand why software isn’t like plumbing.