GoKawiilOpinions expressed by Entrepreneur contributors are their own.
Listen to this post
According to the 2025 Google DORA report, 90% of developers now use AI daily and agree it makes their flow more efficient. Yet the same report says AI just amplifies what already exists in your business’ flow rather than making development stronger by default. When code becomes cheap, it’s so much easier to test each new idea without giving a proper quality estimation. That’s where product judgment becomes critical, picking the right problem to solve, testing the idea early, keeping the product lean, and knowing when to stop with new features.
To keep judgment ahead of production volume, business leaders can rely on five core principles.
1. Problem first, followed by a feature
Data from CB Insights covering over 400 closed venture-backed startups shows that 43% fail due to a lack of product-market fit. For most of them, the real problem was not the engineering capacity, but a clear understanding of what to build.
When a customer asks for a feature, they usually describe a quick fix that sounds good to them, cutting out of the loop the actual problem. If a support team asks for a button to pull all customer data into one screen, the real problem might simply be that searching for information takes too long. Before taking any request, word the core problem and confirm it with the person asking. A quick call to see how they currently solve the issue usually reveals far more than the request itself.
2. Fast decisions come with fast mistakes
The Stack Overflow Developer Survey 2025 shows that 66% of developers spend extra time fixing “almost correct” AI code. At the same time, GitClear analyzed over 200 million lines of code and found an eightfold jump in duplication since AI tools went mainstream. It was often a question of price: whether to test new features or not. Now that AI has made development cheaper, weak ideas move just as fast as good ones unless you intentionally slow things down for a proper review.
Amazon learned this the hard way in December 2025 with Kiro, its internal AI assistant. Given broad access to fix a minor AWS billing dashboard bug, Kiro decided the cleanest solution was to wipe and rebuild the entire production environment. Result? A 13-hour standstill. The mess forced Amazon to freeze what AI tools could modify without human approval for 90 days.
... continue reading