"A quick word from our Sponsor, Paddle.com. They're a great example for a smart tech choice because they massively speed up and stabilize the early days of building a business. I use Paddle as my Merchant of Record. They take care of all the taxes, the currencies, tracking declined transactions and updated credit cards so that I can focus on dealing with my competitors (and not banks and financial regulators). If you think you'd rather just build your product, check out Paddle.com as your payment provider."
"Recently, a peer of mine asked an interesting question that adds a layer to this idea. They suggested that at this point, the best tech stack is probably the one that the AI tool you use for coding knows the most about. That's a fascinating thought, and it's partially true. For many people who don't do their own coding anymore, the best tech stack might not just be the one they know best, but the one that the coding AI handles pretty well."
"But here's what I believe: the original statement still holds true, even in its inverted form. It doesn't matter if the AI model knows a coding language or framework the best. The quality of code the AI produces, and the quality of code that ends up in your software product, is still directly connected to your capacity of understanding and judging, reviewing and debugging that code."
Founders often prefer the tech stack they already know because learning new technology consumes time that would be better spent building the business. Payment services like Paddle can simplify early operations by handling taxes, currencies, declined transactions, and card updates, freeing founders to focus on competitors and product. The effectiveness of an AI coding tool matters, but AI-generated code quality ultimately depends on human capacity to understand, judge, review, and debug that code. AI models are trained on existing codebases and patterns, so human expertise in a stack enables better oversight, integration, and maintenance of AI-assisted output.
Read at The Bootstrapped Founder
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