There's a simple way to tell if a product is truly built around AI or just using it as an add-on. Remove the AI. If the product still works fine, it was never really
AI native to begin with.
In this episode of AI Thoughtmakers, we sit down with Ashita Prasad, Developer Advocate at
AWS, for one of the clearest and most grounded conversations we've had about what it actually means to build applications for the AI era — from how interfaces are changing, to why the information you give AI matters more than which AI you're using.
From whether microservices are dying (they're not — they're evolving), to what a
software engineer's job actually looks like today, to what question every CEO should ask before building anything with AI — this episode will change how you think about what you're building and why.
Key topics covered:
The simple test that tells you if an application is truly AI native — or just AI enabled
Why interfaces aren't disappearing — they're just changing from click-based to intent-based
What product designers actually need to be thinking about now, and in five years
Why the information you give AI matters more than which AI model you're using
What AI should remember about users — and what it should forget
Why microservices aren't going anywhere — but they do need to be redesigned around user goals
How a software engineer's job has shifted from writing code to judgment and specification
Why one product engineer with AI isn't going to outperform a whole team just yet
The one question every CEO should ask before they start building
The biggest AI hype right now: autonomy without accountability
If you're a developer, product designer, tech lead, or founder trying to understand what building for the AI era actually means — this episode is one of the clearest explanations you'll find.
Subscribe for more conversations on AI, engineering, product development, and the future of software.
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