Lewis Campbell's Blog

I no longer want to be seen as someone with a "position" on using LLMs for software development.

Agile can be incredibly hard to understand; I hope this short guide proves useful.

There are, I think two reactions to the title of this post.

Before we begin, I want to say I don't care that much if you disagree with me.

Here's a reproduction of the infamous "Waterfall Diagram", from the landmark paper Managing the Development of Large Software Systems (Royce, 1970): SYSTEM REQUIREMENTS SOFTWARE REQUIREMENTS ANALYSIS PROGRAM DESIGN CODING TESTING OPERATIONS Behold, the en…

The degradation of search engine capability is fairly undeniable at this point.

Throughout my career, I've heard the same cliche repeated again and again.

RIP Agile, we hardly knew ye.

"How far back in time can you understand English?"

I like Rust.

Author's note: I made this article in the wake of a viral post, which meant I was being bombarded with replies from the peanut gallery was feeling spicy.

CRDTs.

Type systems have terms with well defined meanings.

I'm somewhat obsessed with randomised testing.

(Title written with apologies to Sandi Metz.)

If you care about software reliability, you should care about testing.

I am no longer a proper front end web dev.

Let us assume our end goal is reliable software.

Zig and Rust are the two great systems languages of our time, and discussions of their respective merits generate a lot interest.

In the world of high performance linux apps, io_uring is changing how we communicate with the operating system.

COVID exposed the world's lack of supply chain resilience.

Most of my tech career has been in and around supply chain; from procurement to operations, from traceability to manufacturing.

The more I read of what supply chain says of blockchain, the less I think they understand it.

Shake yourself out of this parochialism of time!

So you're in charge of a software product, but you don't understand software?

If there's one thing that characterises the zeitgeist of 2022 programming discussions, it's the celebration of static analysis.

It was May, 2021.