Ai

One of the hardest lessons I’ve learned in tech is boundaries. When to set them, how to enforce them, and (occasionally) when to cross them. Learning this early in my career made it easier to apply later – like now, running my own business. If I don’t get paid when I don’t work, then I don’t work when I don’t get paid. Simple. But this isn’t just on my mind because I’m chasing overdue invoices (though, you know, that too). It started when I saw posts and articles about how 996 culture is gaining traction among startups and founders, especially in Silicon Valley. You know, the “work 9am to 9pm, 6 days a week” grind. And this is despite most people knowing it’s unhealthy. Despite the constant complaints on social about burnout and not having a life outside work. ...

Don’t trust the salesperson. Trust the user reviews. When billionaires share their “secrets to success,” they’re selling to people who’ll never have their starting advantages. When AI executives tell everyone to “learn to code,” they’re ignoring billions without basic internet access. When tech companies promise their products will make us smarter, research often suggests the opposite may be true. Yes, innovation matters. Ford’s customers might have asked for faster horses instead of cars. But here’s the difference: when someone’s paycheck depends entirely on selling you something, when their company’s survival hinges on that sale, they’re not solving your problem, they’re solving theirs. ...

🧠 Something I’ve been thinking about a lot after doing these AI coding experiments… I get why non-devs enjoy this so much. Creating something cool gives you a dopamine hit. Solving a problem does it too. Just like how YT Shorts, IG Reels, TikTok and even LinkedIn these days give you these hits through scrolling, these AI tools do it by “doing, showing, doing, showing”. ...

Intro I posted over on LinkedIn about an interesting comparison between Lovable and Bolt.new which I did. I had this idea for my next Flutter project, but after being hit by the 5th LinkedIn post about Lovable in as many minutes, I had this thought. 😂😂😂 No, actually, the thought was more along the lines of ...

In some of my previous posts I’ve talked about playing around with “vibe coding” tools, more specifically the more hands-on ones like Cursor and Windsurf where I can still jump in if needed. Every time I have an idea for a silly or stupid app just for myself, I tend to gravitate towards these tools, not because I can’t be arsed to do it myself, but because I’m genuinely curious about how well these perform and how much they improve over time. ...

🔍 I’ve said before that I’m worried about where software development is heading. But it’s not just AI that’s the problem — it’s what AI is revealing. We’ve built an industry that rewards speed, hype, and surface-level skill over depth, safety, and real user value. And it’s starting to show — in the products we use, the people we hire, and the damage being done. 📈 This started before AI. During the pandemic, bootcamps exploded. Thousands of people pivoted to software for the remote work and high salaries. The market got flooded with junior devs trained just enough to build a CRUD app — but not enough to understand why and how things should be built. ...

The Gell-Mann Amnesia Effect It describes how someone reads an article in their area of expertise, finds it full of errors and oversimplifications, but then turns the page and takes the next article, on a subject they know nothing about, at face value. I only learned this term recently, although I’ve always kinda knew and understood the concept. And with all the content LinkedIn and YouTube have been force feeding me, I’ve been thinking about how this idea extends beyond just “reading the news” to our skills and expertise. ...

Introduction I keep saying my next post won’t be about AI, and then inevitably, I post something about AI. It’s hard to ignore, it’s the big bubble we are dealing with, and there is so much hype that needs to be ignored and filtered so we can get to the actually good stuff… I’ve been playing around with various tools over the last 3 or 4 months, and I think I’ve settled into what I find to be most useful for me. And while the topic says no-one asked, truth is, this actually does come up in a few discussions on other platforms and groups I’m part of, so I figured I’d love to share, but more importantly, hear what others are doing and why you agree or disagree with me. ...

I’ve been playing around with Cursor and Windsurf, because I keep seeing on social media how great these tools are and how easy it is to build things. And you know what? It’s…. ummm… better than before? Okay, look, it’s impressive. If I compare it so some earlier versions of the IDEs and other tools like Bolt.new, sure, it’s improved. But sheesh, does it take poking and prodding and coddling to get somewhere. Maybe I’m using it wrong, I don’t know, but I wish I could share the transcripts of my chats with these tools so you’ll understand… (can I export those? am I missing a feature somewhere?) ...

Wow, the new Mac Studios look really impressive. I can’t find the post that I saw last night about it, so I can’t share that author’s thoughts (I thought I commented or reacted at least, apparently not…), but what was interesting is the M3 Ultra goes up to 512GB of unified memory. 512GB… Of unified memory… If you’ve been playing with LLMs locally, and you have Apple Silicon, you’ll know that Apple’s unified memory is pretty performant, and it’s great for running local LLMs because the GPU uses the same system memory as the CPU, which means it can access most if not all of the RAM. ...