How to Become an AI-Powered Full Stack Developer in 2026

84% of developers now use or plan to use AI tools in their work, up from 76% just a year earlier (Stack Overflow 2025 Developer Survey).

Writing code the traditional way is no longer enough. Companies are increasingly prioritizing developers who pair strong engineering fundamentals with AI-powered workflows. The need of the hour is to understand how AI is reshaping every layer of development, and how modern full-stack engineers build, debug, ship, and stay employable at scale.

Join our live career masterclass to get a complete roadmap to becoming an AI-powered full-stack developer and evaluate your next move in a fast-changing field.

What We'll Cover in the Session

Why Full-Stack Skills Are Being Redefined: A quick side-by-side of a traditional vs. an AI-powered workflow, and how hiring is shifting.

The AI-Powered Full Stack Developer Roadmap: The exact skill stack for 2026:

• Frontend frameworks and modern UI
• Backend, APIs, and databases
• Cloud fundamentals and deployment
• AI integrations and developer tooling

How AI Is Changing Developer Workflows Using AI to boost productivity, debug faster, and speed up testing and documentation.

Building AI-Enabled Applications: What it takes to add chatbots, smart search, and AI features to modern products.

Career Strategy for Developers in 2026: Building projects, resumes, and GitHub/LinkedIn profiles that stand out.

Exclusive Program Preview: A look at the AI-Powered Full Stack Developer Course, it’s curriculum and career outcomes, followed by a live Q&A.

Meet the Speaker

Ananth Kumar Vasamsetti - Engineering @ Salesforce | Ex - Microsoft

Ananth is a Senior Member of Technical Staff at Salesforce, where he works on Marketing Cloud Next, building high-scale AI communication infrastructure. He brings a decade of production AI and engineering experience across companies including Microsoft, ServiceNow, and Kony, with work spanning LLM integration, NLP, responsible AI, full stack development and published patents in ML recommendation algorithms and graph theory.

He has hands-on experience with agentic AI systems, observability tooling, and full stack development across Java, C#, React, and Node.js. He regularly speaks and writes about practical AI development, focusing on what it takes to move from prototype to production.

Ready to Future-Proof Your Career?

Reserve your seat now and get a complete view of the roadmap, the program, and the career path ahead.

Register Now!