In “What Happens Before and After the Code?“, we explored how AI supports engineers across the entire development lifecycle: clarifying requirements, shaping design decisions, and accelerating debugging. This session continues that story, focusing on what actually happens when you code with AI. Sure, AI tools help you prototype at lightning speed. But the real challenge starts after generation: when code needs to be understood, owned, and made production-ready.
At the upcoming Sahaj Software DevDay in Pune, Akash Sathish will talk about how to move beyond vibe coding by building structure and intent into AI-assisted development. You’ll learn how to provide meaningful context through Model Context Protocols (MCPs) and external references, how to read, review, and refactor AI-generated code, and how to keep your system secure, maintainable, and reliable as it evolves.
This talk isn’t about coding faster. It’s about coding better, with AI as a genuine engineering partner.
Takeaways From The Talk
How to go beyond vibe coding to build production-grade software
Giving AI the right context using MCPs and external knowledge
Understanding and refining AI-generated code effectively
Building maintainability, reliability, and security into AI-driven workflows
The path from fast generation to true engineering discipline
Who Can Attend?
Engineers, tech leads, and curious builders who’ve experimented with AI coding tools and now want to make them part of a serious, sustainable development practice.
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
