June 29 – July 2, 2026 · San Francisco, CA · imported from ai.engineer's public schedule feed

AI Engineer World's Fair 2026 — unofficial import demo

Unofficial demo. This programme was imported from the AI Engineer World's Fair's own public schedule feed to show vibeboard at real conference scale. Not affiliated with, or endorsed by, the organisers.

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Robotics & World ModelsSponsor Session

From Self-Driving Monorepo to Self-Driving Cars

Amit Navindgi

When
Wednesday, July 13:20 PM – 3:40 PM · 20 min
Where
Track 2San Francisco, CA · imported from ai.engineer's public schedule feed
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About this session

AI coding agents promise massive productivity gains, but realizing that promise at scale requires more than just tools. In this talk, I’ll share how we approach AI adoption at Zoox, including: - Designing a monorepo-friendly ecosystem of agents, tools, and workflows - Driving adoption through enablement, hackathons, and internal platforms - Defining and tracking meaningful productivity metrics beyond hype - Managing token spend and aligning it with business outcomes - Structuring Skills, CLIs, MCPs, and Plugins to scale across teams The goal is simple: turn AI from an experiment into a reliable, measurable, and scalable engineering capability.

Speaker

Amit Navindgi
Amit Navindgi

Senior Staff Software Engineer, Zoox

Amit Navindgi is a Senior Staff Software Engineer and AI lead at Zoox, where he founded and leads Zoox Intelligence, a company-wide initiative applying Large Language Models across engineering, operations, customer support, autonomy, and employee productivity. His work combines platform engineering with organizational AI adoption. He architects internal AI platforms, agents, and developer productivity workflows, while also leading AI tool evaluation, rollout strategy, enablement, spend management, and productivity measurement across Zoox. Amit also runs the Zoox Hackathon and The Assembly, a cross-functional forum for knowledge sharing and innovation. Earlier in his career, he built web applications and distributed systems at Veritas Technologies and worked on Natural Language Processing at Xerox Research Centre Europe.

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