Session
From AI-Curious to AI-Native: Rewiring the SDLC
Outline
What we’ll cover in this session.
Going AI-native isn’t a tooling upgrade — it’s an operating-model shift. Drawing from the trenches of building an AI-first engineering organization, this session unpacks what it actually takes to infuse AI across the SDLC, from requirements and design to coding, testing, deployment, and support. We’ll cover what’s delivering real productivity gains, where the hype collapses on contact with reality, and the harder-than-expected human side: reskilling engineers, redefining roles, dismantling resistance, and rebuilding trust in machine-generated work.
We’ll walk through
01
Where agentic workflows actually earn their keep in a real QA pipeline — and the two places they quietly fail.
02
The four control surfaces to set up before an agent touches production: scope, evaluation, failure cataloguing, human-in-the-loop.
03
Patterns for flaky-test triage, regression pruning, and visual-diff arbitration with receipts from three production systems.
04
A reference architecture you can take back to Monday’s sprint planning, plus the metrics that prove it’s working.
Speaker
Navin Nair
VP, Digital Engg. & AI
Navin is an experienced technologist with primary focus on building business-relevant digital products and solutions. He brings with him more than two decades of experience as a developer, architect, engineering/innovation lead, technical program manager, practice lead etc. He is passionate about building scalable distributed systems leveraging cloud, data, IOT, wearables, mobile tech, AI/ML and partnering with customers on their digital journeys as they scale their tech to support their business. In Thoughtworks, Navin is a Market Technology Partner responsible for technology delivery.
Catch this session live.
One pass, every talk, no parallel tracks. Super Early Bird
ends when the next 200 seats are gone.