Hands-on tutorials for Claude Code, AI agents, cloud and system design
Agentic AI Design Patterns is the nine hour fifty five minute paid course by Andrew Ng on DeepLearning.AI. It teaches the four core design patterns behind every production agent system, Reflection, Tool Use, Planning, and Multi Agent, in raw Python without hiding details in a framework. The course launched October 7, 2025 and is the… Continue reading
TL;DR 30 sec4 min coredeep dive optional Claude Code Projects relaunched on September 17, 2026 as a beta that replaces the old project folder with one coordinator conversation and a pool of parallel agent threads, each a full cloud session on its own branch. The beta runs at claude.ai/code, in the desktop app’s Code tab,… Continue reading
Delegate complex tasks to specialized AI agents with isolated context windows and custom system prompts.
Continue reading
Agent teams let you coordinate multiple independent Claude Code sessions working together on a shared problem. One session acts as the team lead, spawning teammates that each run in their own context window and message each other directly. This experimental feature unlocks genuine parallel collaboration for research, review, and multi-layer implementation work that no single… Continue reading
Agent orchestration is the layer above subagents and agent teams: deciding which topology a task needs, what that choice costs, and which controls keep a multi-agent run honest. Claude Code gives you the primitives. It does not decide when delegation helps or when it quietly makes things worse. Agent orchestration: What You’ll Learn This guide… Continue reading