When NASA wanted to re-build the rocket engines that sent them to the moon in 2013, they experienced something curious: the engines they had at hand and the blueprints were different.
This wasn’t because someone was careless in their documentation, but because building rocket engines in the 60s, a time before computer-aided design, was necessarily iterative. Each hand-built rocket was rigorously tested and updated and some of the tweaks went unrecorded.
Your codebase is no different. With each update, patch and bug fix come small changes, some that are insignificant to warrant documentation. When done enough times, things compound.
It’s why there are only a handful of people who can accurately explain each line of code, and it’s exactly why you’re not as ready as you think for the era of AI and software development.
At Sahaj emerge, in Mumbai on September 4, 2026, Sahaj Solution Consultant Harshad Nawathe shares his first-hand experience of re-creating a current system’s knowledge base from scratch using AI, why it could have been completely avoided, why it’s not a scalable solution and most importantly, the crucial role documentation plays in building software using AI.
While AI promises to accelerate documentation, most attempts to produce it reads well but is simply wrong.
We will dive into how a properly engineered multi layer agentic pipeline produces a living and queryable knowledge base, giving leadership a decision-ready backlog for modernisation within weeks not months.
Instead of a one-way lecture, this event opens the doors towards discussions exploring what matters to any leader weighing a modernisation, migration or consolidation decision.
Event Details:
Date: Friday, 4 September 2026
Time: 05:30 PM – 8:00 PM followed by dinner
Location: Dynasty Hall, ITC Maratha, Andheri East , Mumbai
