GraphQL is dying and I could not be happier. The hype has faded. The conference talks have dried up. The true believers have gone quiet. Teams are quietly migrating back to REST and pretending they never suggested GraphQL in the first place. The fever has broken.
Good. It was a fucking mistake.
The problem it solved did not exist GraphQL was supposed to solve over-fetching. Your REST API returns too much data, they said. You are wasting bandwidth, they said. The mobile clients only need three fields but you are sending back fifty.
Microservices were a mistake. Not the concept itself, which has legitimate uses at genuine scale. The mistake was convincing an entire generation of developers that their CRUD app needed to be split into 47 independently deployable services communicating over a message bus designed by someone who watched one too many conference talks.
I said what I said. Come at me.
Netflix ruined everything This is Netflix’s fault. Not intentionally. They shared how they solved their genuinely massive scale problems, and the rest of the industry collectively lost its mind.
I should not need to read a novel to call your endpoint.
If your API documentation spans forty pages, multiple guides, a getting started tutorial, a concepts section, a best practices section, and a troubleshooting FAQ, your API is not well documented. Your API is badly designed. The documentation is compensating for failures that should have been fixed in the API itself.
Good APIs are self-evident. You look at the endpoint, you understand what it does. You look at the request, you understand what to send. You look at the response, you understand what you got back. The documentation exists to confirm what you already intuited, not to explain an incomprehensible system.
Imposter syndrome is real. Plenty of people, especially those from underrepresented backgrounds, genuinely struggle with feeling like they do not belong despite evidence to the contrary. That is a real thing that affects real people and deserves real support.
But somewhere along the way, the discourse around imposter syndrome went completely off the rails. It became a content genre. A personality trait. A thing people perform on LinkedIn for engagement. And I think it is doing more harm than good at this point.
You are a startup. You have twelve users, three of whom are your mum, your co-founder, and your co-founder’s mum. You have six months of runway. You have not found product-market fit. You are still pivoting weekly based on whatever feedback you got from the last person who agreed to a demo.
And you want to build a mobile app.
No. Stop. Put the Xcode down and step away from the keyboard.
Australians are coffee snobs. This is not a stereotype. It is a fact. We are insufferable about it. We will complain about coffee in other countries. We will refuse to drink certain things. We will make faces at menu items that locals consider perfectly normal. We have opinions about milk texture that border on religious doctrine.
And you know what? We are right.
Australian coffee is genuinely, measurably, objectively better than what most of the world drinks. This is not nationalism. This is not bias. This is the truth, and I will not apologise for it.
Between 2022 and 2024, the tech industry laid off somewhere around half a million people. Not contractors. Not underperformers. Engineers, designers, product managers, entire teams deleted in a single afternoon.
People who had been told they were essential, who had stock options vesting, who had relocated their families for these jobs. Gone. Often via email. Sometimes while locked out of their laptops mid-sentence.
The industry has moved on. Hiring is picking up. The job market is recovering. But something broke during those years that is not coming back, and I think we are only starting to understand what it was.
Somewhere in the last year, we collectively decided that typing prompts into an AI and hoping for the best counts as software development. Andrej Karpathy coined the term “vibe coding” in February 2025, and what started as a cheeky observation has become an actual workflow for people shipping production code. This is a problem.
Let me be clear about something: I use AI coding tools every day. Claude, Copilot, Cursor. They’re genuinely useful. But there’s a massive difference between AI-assisted coding and vibe coding, and the industry seems determined to blur that line until someone’s startup implodes in a spectacular security breach.
I deleted my LinkedIn account. Not deactivated, not taking a break. Deleted. And honestly, it felt like finally unsubscribing from a newsletter I should have binned years ago.
LinkedIn has become an echo chamber of the worst kind. It’s not even a useful echo chamber where you might accidentally learn something. It’s a place where people post the same recycled motivational platitudes, agree with each other in the comments, and pat themselves on the back for being brave enough to share their hot take that nobody should work weekends (revolutionary stuff, truly).
I am a front-end developer. That is my main thing. JavaScript, TypeScript, component frameworks, state management, the DOM and all its quirks. I have spent years in this world and it is where I am most comfortable. If you need someone to build a reactive UI or argue about whether signals are better than virtual DOM diffing, I am your guy.
I am also a PHP developer. Have been for a long time. Back-end work, WordPress, Laravel, the lot. That is another core part of my toolkit that has served me well for years.