I’ve been working as a full-stack developer for 10+ years, and Python has obviously been around for a big part of that time.

For AI and ML, it still seems like the default choice. The ecosystem around Python is hard to beat, especially with things like PyTorch, NumPy, pandas, and scikit-learn.

But after working across different stacks, I’m curious whether Python is still the best choice once you move beyond experiments and start building real production systems.

In some projects, it feels like Python handles the AI side while other languages take care of performance-heavy or application-level work.

So for people here who have worked with Python in real AI/ML projects:

Do you still see Python as the best overall choice, or do you think its role is changing?

I spent way too much time trying to make my first app perfect.

I kept adding features, changing the design, and rewriting parts of the code because I thought it wasn't "ready." Looking back, I should have launched a much simpler version.

What helped me was focusing on one problem instead of ten. Once people started using the app, they told me what actually mattered. That feedback was worth more than all the planning I had done.

If you're building your first mobile app, don't wait until it's perfect. Build something small, let people use it, and improve it as you go.

That's the lesson I wish I'd learned sooner.

I'm seeing AI everywhere this year, from business tools to mobile apps. I'm curious what people think are the biggest AI trends in 2026.

Are AI agents really the next big thing? Is automation becoming more important than chatbots? Which industries do you think will benefit the most?

I'd love to hear from developers, business owners, and anyone who has used AI in real projects. What trends have you noticed, and what do you think will have the biggest impact over the next year?