From Xcode 3 to 16, 15 years of iOS development by a Silicon Valley developer, Swift essentials only

Learn how to create a team of AI Agents with Grokbot that goes beyond simply chatting with AI to perform development, research, design, and operations tasks on your behalf. Build everything hands-on—from Agent design to Prompts/Rules, browser, terminal, and tool usage, Multi-Agent collaboration, Memory, Skills, Routines, cost optimization, and failure recovery—and ultimately complete a 24/7 AI Company system that performs repetitive tasks without requiring constant human instructions.

A comprehensive course covering AI-era-proof Silicon Valley internships, 30 big-tech system designs, and hands-on open-source contributions. Using real-world cases from Netflix, Tesla, Meta, Tinder, and other big tech companies, you’ll design and scale 30 practical system designs. Finally, you’ll design your own service from architecture to database to scaling.

The lecture explains why the harness is more important than the model through the lens of Claude Code architecture. It also covers how to design a Claude Code work system around six structures: Context Harness, Permission Harness, Verification Harness, Tool Harness, Subagent & Worktree Harness, and Debugging Harness. It then connects these concepts to CLAUDE.md, session management, controlling large codebases, parallel worktree operations, error log analysis, and tracking environment variable and configuration scope issues, helping you establish practical standards for continuing to use Claude Code in real-world backend and DevOps work.

A mobile app is not complete simply because its screens are well designed. True mobile system design begins when the network disconnects, the app is terminated, data is duplicated, and countless events arrive simultaneously. In this course, you will directly design systems such as an Instagram feed, WhatsApp messaging, Uber location tracking, Netflix offline downloads, Spotify streaming, and ChatGPT,Claude-style AI apps, while developing the mobile architecture mindset expected at major U.S. tech companies. You will not memorize a finished architecture from the start. Beginning with the simplest implementation, you will identify problems such as data inconsistencies, slow screens, duplicate messages, battery drain, app termination, and deployment failures. Through solving these problems, you will progressively internalize the principles of offline-first design, Sync Engines, state machines, caching, retries, real-time connections, Push Notifications, observability, and AI-native architecture. By comparing the platform constraints of iOS and Android, you will learn how to design mobile systems that are fast, reliable, and capable of recovering from failures—not merely how to implement features.

This course trains you to think in terms of frontend system design through real-world service cases such as Threads feeds, Amazon shopping carts, the Netflix streaming UI, Google Docs collaborative editing, Micro Frontends, Agentic UI, and Observability.

This is a course to learn large-scale traffic processing and real-time streaming through practical projects by integrating RabbitMQ, Kafka, and Redis with Python Flask.

Prepare for interviews using the algorithm coding interview methods of US Big Tech companies and implement them through differentiation strategies.