Most teams have adopted AI at exactly one point in the lifecycle — a developer with an autocomplete plugin. That's the smallest win available.
Your join link arrives on WhatsApp.
Your personal join link is on its way to WhatsApp. We'll remind you before we go live.
📅 Google Calendar🗓 Apple / OutlookThe bigger one is everything around it: understanding a service nobody remembers writing, working out what breaks before you change it, generating tests that target real risk, keeping documentation true, reviewing for security. These are the parts that eat the most time, and the parts where AI is least used.
This is a 90-minute session for experienced engineers on where AI genuinely helps across the SDLC, where it quietly adds risk, and how to tell the difference — with a live demonstration on a real codebase rather than a toy example.
Which stages AI helps at today, and which it doesn't
And what structure-aware retrieval does differently
False positives, silent regressions, and where review is non-negotiable
What can and cannot leave your network
A defensible starting position rather than a tool recommendation
AI Product Engineer | Code Intelligence | Software Architecture
Dr Ganesh works on code intelligence, application modernisation, AI testing and validation, software architecture and LLM systems — applying AI to the software lifecycle itself as well as to products.
This session covers practical engineering and general industry knowledge. It doesn't disclose proprietary client or employer intellectual property.
Yes. Registration is free and there's nothing you have to buy.
No, but you do need real software engineering experience. This assumes you've worked on non-trivial systems.
That one is about building AI products for your users. This one is about applying AI to how your team builds software. Different audience, different outcome — some engineers care about both.
No. Tools appear in the demo, but the session is tool-agnostic and focuses on workflows that outlast any single vendor.
Yes, on a real open-source repository — not a toy example.
No. The consistent finding is the opposite: AI raises the value of engineers who understand systems deeply, and is unreliable in the hands of those who don't.
Yes, there's a live Q&A at the end.
Recording policy is confirmed per session; registrants are told in advance.
Live on a date announced soon. Seats are kept small for live Q&A.