DevDay Pune

🎟️ Please RSVP here to join-in for this conversation in-person.

Most conversations about AI in software engineering focus on code generation. But for experienced engineers and tech leads, writing code is rarely the hardest part of the job. The real challenges lie in designing systems, clarifying requirements, building shared understanding, and keeping software healthy once it’s live.

In the upcoming DevDay at Pune, Karun Japhet will explore how AI can help across the entire software lifecycle:

• Before development, by sharpening requirements and shaping design decisions.
• During development, by supporting test strategies and code quality.
• After release, by accelerating debugging and operational problem-solving.

Takeaways from the Talk
The session will help widen the perspective about how to use tools like Copilot and Claude Code more effectively. Karun will showcase effective techniques for:

• Prompt engineering
• Context engineering
• Meta prompting
• Chain-of-thought prompting
• Few-shot prompts
• Avoiding few-shot prompts and being able to one-shot prompt certain type of problems.

Who can Attend
This talk is for engineers and technical leaders who want to go beyond the hype and see practical ways AI can reduce friction in everyday work.

Timeline

• 10:00 am – 10:30 am: Registrations and Tea
• 10:30 am – 12:00 pm: Talk
• 12:00 pm – 12:30 pm: Q&A and Networking
• 12:30 pm onwards: Lunch

Meet the Speaker
Karun Japhet
Solution Consultant, Sahaj Software

Karun is a technology leader at Sahaj Software with extensive experience in delivering enterprise-grade solutions across industries like ad-tech, finance, telecommunications, energy, and gaming. Karun provides strategic guidance to clients on architecture and technology roadmaps, enabling them to build robust platforms and products. He also currently helps run the operations for Sahaj’s Pune office as it’s Office Lead. A recognised speaker, he has presented at global conferences, meetups, and podcasts, covering topics such as event-driven architectures, machine learning for fraud detection, and serverless micro-services.