Monday, July 20, 2026

Human questions to ask in code reviews

Automated (AI) powered code reviews are becoming increasingly popular and powerful. I use them myself to catch things I miss.

But there are questions I ask as a human reviewer that I've yet to see any AI-powered tooling help with.


 Questions like:

  • Does this fix the cause or the symptoms?
  • Are there related changes that should be addressed while we're in this part of the codebase?
  • Is this just fixing a problem or actively making things better for the user? (They aren't always the same.)
  • Do we have related docs or samples that need correcting/updating or adding to?

Wednesday, July 08, 2026

Is second-order enshittification a thing?

The Enshittification poop emoji, created by No Ideas' Devin Washburn for the Farrar, Straus and Giroux edition of "Enshittification: Why Everything Suddenly Got Worse and What to Do About It" (Cory Doctorow, 2025).

 
Enshittifcation, as a term popularized by Cory Doctrow, has for many become a catch-all term for things generally getting worse. I've found it useful (unsurprising if you know me) to think about it in two categories.
There's the popular definition of how very large, dominant platforms change [to get worse] over time as business/organizational priorities change.

I think there's a second-order version of this that follows as a response.

I'd sum it up like this:

"If [big company] doesn't have to focus on quality, we can cut corners there too."

What happens when "everyone" takes this approach is that things get continually worse. Not all at once and not always in the immediately obvious ways. More in the million paper cuts way.

From a software perspective, it's the increasing number of small bugs that no one seems to care about fixing. This teaches people to not bother reporting them. After all, "what's the point? They're not going to fix it even if I [you] do report it."

With fewer known or reported bugs, the company thinks everything is fine, or worse still, thinks skipping on quality is an approach that works.

And a self-reinforcing cycle continues.


I prefer to think of it another way.

Software exists to help people and to make their lives "better". This could be in one or in many ways.

When people are constantly being interrupted, frustrated, and disappointed by the software they use, it's very hard to argue that it is making them better, happier, or more productive.

This is part of the reason I think that QA, customer service, and fixing bugs are among the most important things that those in software development can focus on.

With AI making copying software easier, it's focusing on how it relates to people that can be the real differentiator. 

Yes, AI may mean you can vibe code a copy of something that exists, but does it include support for all the non-obvious edge cases? Do you even know all the features that exist in what's being copied? How (and?) will you handle any bug reports?

Yes, building software can be fun for you, but high-quality software that works reliably benefits many more people and, in a small way at least, makes the world a better place.


And this can also lead to mediocrity

A small company tries to compete with a large one. They try to do everything because that's what the large company (or their software) does. They try hard, but as they're stretching themselves so thin, everything suffers. "Never mind", they say, "at least we're trying our best." But, for what? Who benefits? The company's staff exhaust themselves producing a mediocre product, and it's no better than the alternatives.
Trying to compete with a large company and basing goals on the perceived [low] standards of another company doesn't produce a great product, happy customers, or happy staff.



_This was written many months before posting--to avoid anyone thinking I'm responding to a single person, company or incident_


Saturday, April 11, 2026

It's probably not an MVP

It's common for people to refer to early versions of software as MVPs (Minimum Viable Products).

Only, that's not what an MVP is meant to be.

People say: 

"ship it early"
"try something out"
"get feedback"
"don't worry about polish"
and "you should be embarrassed about these versions"

But these aren't descriptions of an MVP; they're descriptions of a prototype, and the two are not the same.

A prototype is an early, experimental version intended for getting feedback.

You'll probably use multiple prototypes (or versions of them) until you find an MVP, or confirm that the prototype isn't going to make an MVP.


People tend to focus on the "Minimal" part of the MVP and forget about the rest. If it's not a "Viable Product", then it's not an MVP.

It's not an MVP if there aren't enough people willing to pay for and use it as it is for it to be a sustainable product/business.

Then, once you've proven you've done enough to make it a viable product, then you can add polish, more features, focus on performance or scalability, promote widely, etc.

It's not an MVP if:

  • It's a free beta version
  • It's only being tested internally
  • It includes more features/functionality than are absolutely necessary
  • You only demonstrate it privately
  • Your only feedback is from influencers seeing a private preview
  • People aren't paying for it (or you're not monetising it in other ways)


Of course, there will be some who read this (and probably don't get this far) who will claim that they use the term MVP to mean a prototype. If everyone using the term understands it the same way, then this may not be an issue. But if you start using terms beyond how they were originally defined or intended and you haven't verified that everyone you're communicating with understands this the same way, then there can be confusion, which can lead to wasted time/effort and broken assumptions.