Product Engineering Foundations for Vibe Coders
Sash Mohapatra
AI Educator and Builder | Ex-Microsoft
Learn the product engineering principles every vibe coder eventually needs
You've built something real with AI coding tools. You've shipped it. And you hit the honest problem: you don't know what you don't know.
What are the three layers of your app - frontend, backend, APIs, databases - and how do they talk?
What's a data model, and why does every reliable product start there?
How do you test changes in dev before users see them in production?
Why does your agent keep forgetting context?
Which decisions are safe on instinct, and which cost you a weekend if you guess wrong?
These are the engineering questions nobody covers in a vibe coding tutorial. Product managers absorb them through proximity to engineers. Growth marketers, operators, designers, and business-background founders rarely get that proximity - but they need the same answers.
This workshop gives them to you.
You'll work with AI tools the way someone with engineering intuition does - understanding what you're building and spotting problems early.
One day. Four stages: THINK → MAP → BUILD → SHIP. You'll build a working app and a vocabulary that works with Replit, Cursor, Claude Code, or Lovable - the same process I use to ship Pollzy.
Workshop agenda
- 1:00PM EDT
What product engineering principles unlock for non-technical builders
Why product engineering principles lead to better outcomes | What they unlock: reliable, maintainable software | The four-stage framework you'll use today
- 1:15PM EDT
THINK: From vague idea to a PRD your agent can use
User journeys before features | Scope: must-have, nice-to-have, not-now | Plan mode with your AI agent | Writing a PRD your agent can use | Live : Walk through the sample app's PRD live
- 2:00PM EDT
MAP: The architecture and data model, before any code
Project anatomy: frontend, backend, database, API | Why backend-first ships faster | Data models: entities, fields, relationships | Design the sample app's data model live
- 2:45PM EDT
Break
Thirty minutes. Eat, stretch, step away from the screen.
- 3:15PM EDT
BUILD: Scaffold your app with habits that make every step reversible
Commit before every AI session | Rules files that give your agent persistent memory | Docs-as-code: agent maintains your PRD and build log | Live build: data → API → frontend → auth
- 4:30PM EDT
SHIP: Environments, secrets, and the non-panic recovery playbook
Dev, staging, production environments | .env and .gitignore secrets discipline | Issues as backlog, build log as changelog | Recovery moves: revert, checkout, redeploy | Live deploy to production
- 5:30PM EDT
Q&A: Apply the framework to your own builds
Bring your questions about your own projects | How the framework applies to your specific builds
- 5:45PM EDT
Close: Applying the framework to your own codebase this week`
Walk back through the four stages: what changed for you today | Your one commitment for tomorrow's own codebase | 4 templates you'll walk away with
Learn directly from Sash
Sash Mohapatra
AI educator & Builder | 20 Years in Microsoft in Customer engineering and Sales
Who this workshop is for
Non-technical founders building products on Replit, Lovable, or Cursor who have moved past the prototype stage.
Growth marketers, operators, and BD pros who've shipped internal tools with AI but hit walls maintaining or extending what they built.
Designers, customer success leads, and business-background builders using AI coding tools who want to understand the technical foundations.
What's included
Live sessions
Learn directly from Sash Mohapatra in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Frequently asked questions
$495
USD