Free Lesson

Build Spec-Driven Apps with Claude Code

Hosted by Mahesh Yadav

Fri, Jul 3, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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Agentic AI Product Management Certification using Claude Code
Mahesh Yadav
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What you'll learn

Write Implementation Specs That Eliminate Vibe Coding

Learn the exact spec format that gives Claude Code precise constraints so your builds stop drifting and start shipping.

Structure Harness Context for Consistent Output

Set up your Harness context window so Claude Code maintains architecture decisions across every file and session.

Add Evals, Security, and Observability to Your Build

Layer in test coverage and monitoring so your portfolio project holds up under technical interview scrutiny.

Ship a Portfolio Project Using a Spec-to-Build Workflow

Walk away with a repeatable five-step process to go from blank repo to interview-ready project in under a week.

Why this topic matters

Every team shipping with Claude Code next year will need people who can spec, not just prompt. Vibe coding hits a ceiling fast: inconsistent output, no test coverage, nothing to show in a system design round. Spec-based development is how you prove you can architect, not just generate. This session gives you the workflow to build projects that pass engineering review and land AI-native roles.

You'll learn from

Mahesh Yadav

Ex AI Product Lead -Google l Meta l Microsoft l AWS | 10k+ Alums l Founder - Agentic AI Institute

Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.

Previously at

Google
Meta
Amazon Web Services
Microsoft
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