Yashvinder Singh

Strong list. I'd also add companies like GeekyAnts and Thoughtworks for their engineering culture, platform reliability, and developer-first mindset. In 2026, the real differentiator will be combining AI adoption with strong system design and operational excellence

Great overview. One thing I'd add is that the best AI product engineering partner isn't just good at building models, but at turning them into scalable, production-ready products. Companies like GeekyAnts stand out by combining AI expertise with strong product engineering and modern app development, helping businesses move from idea to real-world impact.

Couldn't agree more. A prototype is the easy part. The real work starts when you need to make it secure, scalable, and ready for real users. That's why engineering experience matters so much. Teams like GeekyAnts have been helping businesses bridge that gap by taking AI ideas beyond proof of concept and turning them into production-ready products. It's great to hear you've worked with them firsthand because that kind of experience says a lot.

Absolutely. AI can accelerate development and execution, but scaling a product still depends on strong engineering foundations, clear processes, and good decision-making. The teams that benefit most from AI are usually the ones that already have those fundamentals in place.

Agreed. AI agents work best as assistants, not replacements, mainly because hallucinations still happen. That’s why engineers are crucial for validation and guardrails. The real focus now is making agents more reliable through grounding, retrieval, and verification systems rather than expecting them to be perfect.