Anatomy of Claude Code and Deep Agents, Live Build

Hosted by Rajesh P

Sun, Jul 5, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

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AI Coding for Product Managers: Build Real Products in 6 Weeks
Rajesh Pentakota
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What you'll learn

The 5 agent levers every AI-native PM has to own

Planning, tools, memory, execution, and evals: what they are, when each one breaks, and the PM-level decisions

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Offer a concrete and concise explanation of how you will help students understand and apply this lesson.

Build a working Deep Agent live using langchain Deep Agents

No boilerplate, no pre-built repos. Watch me go from 0 → 1 and build an agent that can read context, use tools ..

Decode how Claude Code works under the hood

From file search to edit loops to test runs: how coding agents actually move from instruction → plan → action → verific

Spot the silent failure modes that tank 80% of agent demos

Fake progress, tool confusion, context loss, runaway loops, and “looks done but isn’t done” outputs

Why this topic matters

PMs are sitting on top of a massive opportunity. As a PM turned solo‑founder, building CodePup AI from 0 to thousands of users has been the most fun and energizing chapter of my career, and this session is about sharing the tricks, tools, habits, and mindset that made that possible. This session will make you the person everyone bets on for the next big AI PM role!

You'll learn from

Rajesh P

Founder, CodePup AI (ex-Zynaga, Flipkart, Walmart)

Rajesh is a product leader turned solo founder who has spent 15+ years building and scaling products across companies like Flipkart, Zynga, and Walmart, serving millions of users and driving millions of dollars in revenue.

Today, he is building CodePup AI , an AI powered eCommerce website builder, where he has gone from 0 to 1000's of users while staying deeply hands on with the work. His journey from PM to builder has given him a practical, real world perspective on what it takes to create products in the AI era.

Through these sessions, Rajesh shares the tools, habits, workflows, and mindset that helped him make the leap from product leader to founder and builder, so other PMs can do the same and position themselves for the next wave of AI PM roles.

Previously at

Zynga
Flipkart
Walmart
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