Why does every "small feature" turn into a much bigger project?
I've started to notice something about mature products.
The size of a feature rarely determines how much work it takes.
Instead, the effort depends on how many past decisions that feature touches.
A simple "Add Google Login" suddenly affects authentication, onboarding, permissions, analytics, documentation, QA, and maybe even your pricing model. What looked like a two-hour task turns into a week of discussions because you're no longer building a feature; you're negotiating with decisions your product has accumulated over months or years.
I think this is one of the biggest shifts AI has created. Writing the code is becoming easier every month. Understanding the impact of a change isn't.
That realization completely changed how we think about existing products. It's also why we introduced Brownfield in MySpec. Instead of treating every request as a brand-new feature, we wanted a workflow that starts by understanding the current product, its context, and what could be affected before planning the change.
I'm curious if you've experienced the same thing. What's the smallest feature that ended up having the biggest impact on your product?
If this resonates with you, we'd love for you to check it out: https://www.producthunt.com/products/myspec
Replies
This resonates a lot.
I've learned that the hardest part is rarely implementing the feature—it's understanding all the dependencies and downstream effects before making the change. That's where context beats code.
We're seeing the same pattern with VIQI AI, powered by Vitrina AI. The real challenge isn't finding isolated pieces of information—it's connecting companies, projects, and market relationships to understand the bigger picture before making decisions.
As AI gets better at generating code, I think context and impact analysis will become the real competitive advantage.
@rutuja_kokate That's a great comparison. Even though we're solving different problems, the underlying challenge feels very similar. Whether it's an existing codebase or market intelligence, isolated information is rarely enough. The real value comes from understanding the relationships and context before making a decision.