420: AI for the Code-Writing Purist: How to Use AI Without Surrendering Your Keyboard

Hey. It's Arvid, and this is the Bootstrap founder. I know you're out there, the developer who watches their colleagues very enthusiastically embrace cloud code and cursor codex whatever they're called having AI write entire feature sets while you still proudly type every semicolon by hand. You're the founder who sees AI generated code as a ticking time bomb, bugs, security, vulnerabilities, all all that kind of stuff. You're the software founder who believes that real code comes from human minds, not language models. This one is for you. A quick word from our sponsor, paddle.com, before I get started. I use Paddle as my merchant of record for all my SaaS businesses. They take care of all the taxes, currencies, tracking the client transactions, credit cards, all that stuff. So I could focus on building my product. They just recently released a new guide and I think you should check this one out. It's called Grow Beyond Black Friday and it contains very actionable strategies for payment conversion and billing tactics to maximize revenue and retention in the long term. It's all about using seasonal sales effectively. And if you have anything to sell, which most of us do, check out paddle.com as your payment provider. The link to the guide is in the show notes. Okay. Here's the thing. Even if you're in the AI embracing camp right now, happily letting robots write your Redux boilerplate, your React code, whatever it might be. What I'm about to share will be equally valuable for you because today I'm going to show you all the ways that you can leverage AI in your software projects without having it write a single line of production code. There is more than having AI write every single thing. The biggest breakthrough and likely what some of you already have tried, but can be done in a very particular and intentional way is having AI systems as a coding companion. Not just somebody who's writing code, but an investigator. Someone who can just be tasked with research and who reports back with insights that you can then tackle as projects in your own timeline. This is exactly how I actually got into using AI tools as coding helpers. Because back in late twenty three and early twenty four, when I was first building PodScan, AI systems just were not capable of producing reliable code. We had auto complete and that kind of stuff, and that got a little bit more magical than it used to be. But writing actual code? Yeah, no, they couldn't. So what was I using these tools for? Well, I was tasking them with individual problems and challenges, asking them to give me insights that would then allow me to write my own code, the solution for my challenges myself from those insights. So here's the kind of thing that I would ask. This function that would paste the code gives me the wrong result even though I implemented it …