DEV Community: Sahil kumar

Building a Fast AI-Powered Backend with Xano – My Experience

Sahil kumar — Fri, 05 Dec 2025 11:45:48 +0000

I joined the Xano AI-Powered Backend Challenge to explore how fast backends can be built without writing too much code. Honestly, Xano surprised me.

Here’s what I built:

A simple backend with AI-generated API logic

Automatic database handling

An endpoint that responds with dynamic AI-generated data

Clean API structure created in minutes

The best part was how quickly I was able to go from idea → working API. No server setup, no complicated configuration.

This challenge helped me understand how “AI speed” backend development actually feels. If you’re someone who struggles with backend boilerplate, Xano is worth exploring.

My 1-Minute Project Pitch: Simplifying Tech for Everyone

Sahil kumar — Fri, 05 Dec 2025 11:42:34 +0000

I recently built a small project that focuses on making tech more accessible for beginners. The idea came from noticing how many students struggle to understand modern tools, even when the resources are available.

For this challenge, I recorded a 1-minute pitch where I explain:

What problem I wanted to solve

How the project works

Why I decided to participate

What impact it can create for new learners

My goal was not to build something big, but something useful. This challenge by Mux gave me the push to finally showcase my work instead of just keeping it on my laptop.

If anyone here is planning to participate, my only tip is: don’t worry about perfection—just share your idea confidently.

DEVShowAndTell #MuxShowcase #BuildInPublic

My experience with the 5-Day AI Agents Intensive A Pratice Reflection

Sahil kumar — Thu, 04 Dec 2025 04:14:13 +0000

I recently completed the 5-Day AI Agents Intensive, and surprisingly, this short program taught me more about AI agents than I expected. It was fast, hands-on, and filled with small “aha” moments that made the whole experience genuinely worth it.

*Why I Joined
I’ve always wanted to understand the practical side of AI—especially #agents that automate real tasks. Theory is easy to find online, but this program focused on actual implementation, which is why I joined.

*What I Learned (In Simple Words)

Each day clarified one important concept:
-How agent structure works
How tools and actions are actually used
How multi-step reasoning flows
Basics of prompt optimization
How agents behave in real-world workflows
Short lessons + practical tasks made everything easy to follow.

Capstone Project Experience

The capstone project felt a bit challenging at first because it required building a complete workflow—from planning to execution. But once the agent started following each step properly, everything clicked.

This project taught me that solid planning, proper tool usage, and debugging are the real skills behind building agents.

What I Liked the Most The steps were simple and clear Examples were practical Watching the agent run in real time was fun The Kaggle community was supportive And for a 5-day program, it covered a surprising amount

Overall, the experience felt smooth and genuinely enjoyable.

*How This Course Helped Me
Improved my problem-solving
Gave me a clear understanding of agent design
Helped me learn tool integration
Gave me confidence with AI workflows

A short program, but with a strong learning impact.

*What I Plan To Do Next
Build more AI agents
Go deeper into AI + coding
Complete more Kaggle ML courses

Try automating real-world workflow

Final Thoughts

Overall, this intensive was short but extremely impactful and excellent.
If someone wants to understand AI agents from the ground up, this program is a perfect starting point
For me, it was a simple, clear, and genuinely useful learning experience