Ashish Jha (now Director of Engineering @ Drata) built AWS Audit Manager - one of AWS's fastest-growing services ever - launching in 15 months with 1,000 customers turning it on in the first 24 hours.

On this episode of 1 IDEA, Ashish shares how extreme constraints - 3 months to prove it, 8 months to ship - forced the architectural decisions that made it work at scale.

We cover:

Manish (VP of Engineering @ Cisco) watched AI write perfect code that created a disaster. When his team asked AI to add traceability, it invented a brand new framework instead of using the one they already had. Multiply that across 1,100 engineers, and suddenly you have dozens of competing implementations of the same thing. For his one idea, Manish breaks down the three phases of AI adoption and exactly how to move from chaos to control. 

We cover:

Check out Suresh's idea: The Self-Driving Cloud

Learn how Sedai can make your cloud autonomous → https://www.sedai.io/

Salesforce needed a faster UI runtime, but rewriting everything without forcing customers to migrate seemed impossible.

On this episode of 1 IDEA, Kevin Hill (VP of Engineering @ Salesforce) shares how backing his team’s “impossible” ideas led to the one idea that unlocked Salesforce’s UI overhaul.

What we cover:

And, check out Suresh's favorite idea: The Self-Driving Cloud™. - https://www.sedai.io/ 

Rachit Lohani (fmr. CTO @ Paylocity) has seen the same pattern everywhere: engineering leaders getting hammered with "Why aren't we more productive with AI?"

Teams are using AI. They're writing more code. But nobody can answer whether it actually matters.

For his one idea, Rachit breaks down why AI productivity metrics fail — and the guardrails that make them useful.

We cover:

The 5 guardrails to build before building with AI

The two biggest challenges killing real AI adoption — and what to do instead

How to move from vanity metrics to measurable outcomes

And, check out Suresh’s favorite idea: The ⁠Self-Driving Cloud™⁠.

Vinay Perneti, VP of Engineering at Augment, learned the hard way that being the go-to problem solver was actually "diminishing the intelligence" of his team. 

Years ago at Pure Storage, his manager's brutal feedback forced him to develop the "Bottleneck Test": a framework he uses to scale teams at Augment in the fast-moving AI space. 

For his one idea, he shares how to diagnose if you're accidentally blocking your team and the specific questions that transform dependence into ownership.

We cover:

Check out Suresh's idea: The Self-Driving Cloud™

Learn how Sedai can make your cloud autonomous → https://www.sedai.io/

Mohit Aron has built 2 companies to $10B+ (Nutanix & Cohesity) by telling his engineers to ignore "minimum viable product" and build what customers actually love. He says you can NOT build a billion-dollar business by using the same strategy as everybody else — like giving points to engineers for building their favorite features. Instead, you need a Minimum Lovable Product.

We cover:

Check out Suresh's idea: The Self-Driving Cloud™

Learn how Sedai can make your cloud autonomous → https://www.sedai.io/