"Product Engineering with AI" is a guide to building AI-powered products in the modern era.
"Product Engineering with AI" is a practical guide for building AI-powered products in the modern era. It's part of a complete bundle that also includes AI in Practice (a 30-page case study collection highlighting real-world examples of AI in production across multiple industries), Building Products in the Age of AI (a 30-minute talk by Addy Osmani on designing human-centered AI experiences), and Building Products with AI (a 45-minute discussion between Addy & Hassan on building an AI-powered product from scratch).
AI is fundamentally changing how we build products. From code generation to automated testing, from intelligent UX personalization to autonomous agents, the landscape of product development is evolving rapidly. The challenge is knowing how to navigate this transformation with clarity and confidence.
You'll learn how to:
A comprehensive guide to building AI-powered products, from foundational concepts to real-world implementation strategies and best practices
Real-world success stories from industry leaders implementing production AI solutions
Shows how Addy & Hassan built an AI-powered product (Zanuh) from scratch, teaching how to clarify your vision, choose the right tools, and break AI tasks into small chunks
A concise guide to how AI has reshaped product engineering by 2026—from roles and team shape to tools and workflows.
A comprehensive guide to using Claude Code as a product management superpower from installation basics to advanced workflows like parallel agents, custom commands, and MCP integrations
Expert insights on designing human-centered AI experiences that users trust
A 200-page guide to building AI-powered products, from foundational concepts to real-world implementation.
Product Engineering with AI is for anyone involved in creating digital products who wants to understand how AI is reshaping the way we work. Whether you write code, design interfaces, or manage products, you’ll find practical insights on developing an AI-first mindset for the future.
A concise field guide to how AI has reshaped product engineering by 2026.
Product Engineering Insights in 2026 shows how small teams use copilots and agents to move faster while keeping judgment quality and user focus high. Written for builders who want practical patterns not hype and who expect AI to be part of the core stack not an add-on.
A comprehensive guide to using Claude Code as a product management superpower.
Product Engineering with Claude Code covers everything from installation basics to advanced workflows like parallel agents, custom commands, and MCP integrations. Includes practical use cases including user research synthesis, PRD drafting, competitive analysis, and data reporting, with real-world tips from power users. Whether you're a PM new to AI tools or looking to level up, this guide shows you how to turn Claude Code into an indispensable collaborator.
A 30-page companion featuring real-world success stories from industry.
AI in Practice explores how organizations in tech and beyond are putting AI to work today. From hospitality and retail to manufacturing and creative services, these case studies highlight production systems, not just prototypes, that improve core operations.
A 45-minute discussion between Addy Osmani and Hassan Djirdeh.
Building Products With AI shows how we built an AI powered product (Zanuh) from scratch. Learn to always clarify your vision first, choose the right tools for the job, and break AI-powered tasks into small chunks.
The workshop is broken down into 2 focused videos (with Introduction):
A 30‑minute presentation by Addy Osmani.
Building Products in the Age of AI is a talk on what to avoid, how to stand out, and how to design human‑centered AI experiences people trust.
Heyo! We're Addy & Hassan — Engineers & Educators.
Addy is the author of a number of books including Beyond Vibe Coding and his popular Substack newsletter Elevate (over 27,000 subscribers). Hassan most recently worked with Addy to author Building Large Scale Web Apps (> 3000 copies sold).
Addy is a Director in Google Cloud AI focused on helping developers and businesses succeed with Google's AI platform. Previously, he spent nearly 14 years building developer experiences in Chrome.
Hassan is a senior software engineer who has built large production web applications at organizations like Doordash, Instacart, and Shopify.
The complete bundle for building AI-powered products. No subscriptions. One payment.
Written materials delivered as ePub/PDF, videos as private YouTube links.
5 production-ready ADK agent projects for Product Managers and Product Engineers
This repository contains five complete Google Agent Development Kit (ADK) projects that demonstrate real-world use cases for AI agents in product development. Each agent is fully functional, well-documented, and can be run immediately with just an API key. It's part of Product Engineering with AI.
Location: python/agents/prd_studio/
Transform fuzzy product ideas into comprehensive, execution-ready documentation.
SequentialAgent with 6 specialized sub-agentsLocation: python/agents/experiment_copilot/
Design experiments with power analysis, then analyze results with statistical rigor.
Location: python/agents/release_radar/
Scan dependencies, assess upgrade risk, and generate migration plans.
Location: python/agents/voc_insights/
Transform customer feedback into prioritized roadmap recommendations.
Location: python/agents/meeting_ops/
Turn meeting transcripts into summaries, decision logs, and action items.
Explore all the agents and get started with the complete repository:
View on GitHubEssential MCPs and Skills to supercharge your AI workflow.
Think of an AI agent like a professional worker.
To do a job well, they need two things: tools to do the work and the knowledge of how to use them.
MCP is a standard way for an AI (like Claude Code) to plug into external systems.
Skills are markdown files that teach the AI specific workflows or domain knowledge.
Imagine you want the AI to manage your company's database:
| Feature | MCP (Tools) | Skills (Knowledge) |
|---|---|---|
| Primary Purpose | Connecting to external data/APIs | Encoding workflows & expertise |
| Storage | Usually a server or JSON config | Local .md files in a .skills folder |
| Context Usage | Always "on" and taking up memory | Loaded only when needed |
| Analogy | The phone line | The person knowing what to say on the call |
Repo: ComposioHQ/rube
What it is: A single MCP server that acts as a gateway/proxy to 500+ other integrations (Slack, GitHub, Notion, etc.) via Composio, saving you from managing individual auth tokens for every service.
Repo: obra/superpowers
What it is: A collection of high-leverage developer skills. This is where the /brainstorm, /plan, and /finish workflows live. It basically forces Claude to adhere to a strict software development lifecycle.
The following are all located in the anthropics/skills monorepo. They aren't separate repositories but specific folders within this main repo.
Location: anthropics/skills/tree/main/skills (Look for docx, xlsx, pdf, pptx)
Note: These are the reference implementations that power Claude's official file editing capabilities.
Location: anthropics/skills/tree/main/skills/theme-factory
Note: Allows you to define a design system (colors, fonts, spacing) that Claude applies to all generated HTML/React artifacts.
Playwright Browser Automation - Model-invoked Playwright automation for testing and validating web applications. By @lackeyjb
Lead Research Assistant - Identifies and qualifies high-quality leads by analyzing your product, searching for target companies, and providing actionable outreach strategies.
Location: anthropics/skills/tree/main/skills/webapp-testing
Note: Contains the logic to drive Playwright for end-to-end testing. It teaches Claude how to write and execute these tests reliably.
Location: anthropics/skills/tree/main/skills/mcp-builder
Note: A meta-tool. It's a skill that teaches Claude how to write the code for new MCP servers, effectively allowing it to build its own tools.
Content Research Writer - Assists in writing high-quality content by conducting research, adding citations, improving hooks, and providing section-by-section feedback.
NotebookLM Integration - Lets Claude Code chat directly with NotebookLM for source-grounded answers based exclusively on uploaded documents. By @PleasePrompto
Answers to common questions.
No. Product Engineering with AI is designed for builders across roles; no coding required.
The book has 14 chapters totaling just about 200 pages. This will grow as we add more content and new chapters over time.
Yes! The book is complete, though we will continue to update it and add new content over time.
The book is available in ePub/PDF while the case study is only available as PDF.
Once your purchase through Leanpub is complete, you'll see a Thank You post-purchase screen and receive a Thank You email with private YouTube links to our webinar series and download links for the written materials.
This book focuses on shipping products and the evolving role of product engineers building them (solo founders, team members, PMs). Beyond Vibe Coding is more about AI in the software development lifecycle.
Absolutely.
Feel free to reach out to us anytime.