How I shipped a new Angular v22 edition of my book - manuscript, code, build pipeline, and four sales channels - by directing a crew of specialized AI agents across two repos and two AI tools. The system, the hard problems they solved, and the guardrails that kept it honest.
Angular v22 ships three signal-based ways to load async data: resource(), rxResource(), and httpResource(). Here is what each one does, when to reach for which, and copy-paste v22 examples for loading, errors, and reactive requests.
Zoneless is the default in Angular v22. Here is what that means, how change detection works without Zone.js, how OnPush and the new Eager strategy fit in, and how to migrate an existing app without breaking it.
Build a real form with Angular's new Signal Forms API in v22. Define state as a signal, bind fields with formField, add validators, handle submit, and work with nested and array fields. Every snippet runs on @angular/core 22.0.0.
Move a classic NgRx app to Angular Signals: map Store, Selectors, Effects and Reducers to SignalStore or plain signals, see a before/after slice, learn when to keep NgRx, and dodge the pitfalls.
A hands-on guide to migrating RxJS- and NgRx-heavy Angular code to Signals in Angular v22 - what maps to what, when to keep RxJS, and the pitfalls to avoid.
Angular v22 makes signals the default: OnPush out of the box, stable Signal Forms, stable resource/httpResource, big template upgrades, @Service, and Angular Aria. A practical tour with code.
Angular Signals are stable in v22. The new edition covers Signal Forms, httpResource, linkedSignal and zoneles. Plus a step-by-step RxJS/NgRx → Signals migration. Free update if you already own it.
Is coding dead? AI has automated the typing, but not the thinking. Discover why Context Engineering is the future of software development in this TEDx talk.
Hello hello, developers fellow! This playbook is your ultimate guide to building state-of-the-art applications and accelerating your workflow using the combined power of Google Antigravity (agentic coding) and NotebookLM (advanced research & context ingestion), connected via the Model Context Protocol (MCP). Whether you want to supercharge your development speed (Category
Teaching AI to understand a brand's visual identity with DESIGN.md
The setup, in one sentence I gave Gemini CLI the same brief twice. Build a social posts generator with Genkit that takes a topic and outputs a LinkedIn post, an X post, and a Facebook post. Same architecture. Same UI. Same test topic. The only difference between run #1 and