How Senior Engineers Build With AI (Full Intercom Clone)

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Summary

A comprehensive guide on building a complex, AI-powered Intercom-style customer support application using a senior engineering workflow.

Highlights

Introduction and Project Overview00:00:00

Introduction to the goal of building a production-ready Intercom clone, emphasizing that successful AI development requires a proper system architecture, not just simple code generation.

Prerequisites and Tooling00:06:17

Setting up the development environment, including selecting an IDE, installing critical skills, and utilizing voice dictation to minimize development friction.

Product Definition and Architecture00:13:47

Defining the V1 scope, mapping out system architecture (NextJS, Neon, PartyKit), and establishing core user flows to guide AI development.

Creating the PRD00:34:01

Using a frontier AI model to generate a high-quality Product Requirement Document (PRD) and refining it through iterative 'grilling' sessions with the agent.

Technical Stack and Setup00:48:37

Locking in the technology stack, including Prisma, tRPC, and TanStack Query, and setting up the foundational codebase for the project.

AI Coding Workflow01:05:08

Detailed explanation of a professional multi-model coding workflow, utilizing orchestrator, researcher, implementer, and reviewer sub-agents to build scalable features.

Landing Page and Design System01:23:48

Implementing the landing page first to establish a cohesive design system and UI components, ensuring subsequent features follow consistent design patterns.

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