Code, Test, Deploy: How Software Developers Use GenAI Today

GenAI adoption is moving fast across engineering teams today. Many developers still see uneven results: vague prompts, inconsistent code output, thin test coverage, and slow debugging cycles. Teams spend significant time fixing AI-generated work instead of shipping with confidence.

This is why we are hosting a live webinar, so that engineers can see what strong GenAI workflows look like in practice. We will deep dive into understanding how GenAI tools are transforming the end-to-end software development lifecycle, from writing code and generating tests to debugging, deployment, and optimization. 

The session also shows how the AI-Powered Full Stack Developer Program builds these skills through guided, hands-on work. The program covers tools such as CodeWhisperer, Hugging Face, and more, with structured practice built into the learning journey. 

Mar 3, 2026 | 9:00 PM IST | 10:30 AM ET

What You Will Learn

• The most-used GenAI tools developers rely on for coding, testing, and deployment
• How GenAI plugs into IDEs, Git workflows, and CI/CD pipelines in real teams
• Practical ways to use GenAI for scaffolding, refactoring, and documentation
• How AI-assisted testing helps generate cases, catch edge conditions, and reduce rework
• Debugging faster with GenAI like tracing issues, interpreting logs, and improving fixes
• What the job market demands from software developers and how they can stay in trend

About the Speaker

Deepesh Acharya - Software Engineer at Microsoft | Ex-Cisco & Oracle

Deepesh Acharya has a career spanning top-tier tech firms including Microsoft, Cisco and Oracle. He has a proven track record of optimizing software delivery through AI-powered frameworks and scalable API design. With a focus on backend engineering and developer efficiency, Deepesh brings deep technical insights into how modern software teams can effectively implement GenAI today.

Learn How Real Features Ship — the Microsoft Way!

Deepesh will take you inside a real-world workflow, showing how a production-grade feature moves from prompt → code → test → deployment.

Who Should Attend?

Are you an early to mid-career developer (0–6 years) who want an edge with GenAI workflows? Or are you an practicing frontend or backend developer looking to work faster and ship cleaner? This 60-minute session has a lot of insights, tool suggestions, and a clear career roadmap for you!

Spots are limited, register now to lock in your seat.

Reserve Your Spot Now!