Target audience: Software engineers who use AI coding tools every day Prerequisites: Experience writing code or docs with GitHub Copilot, Claude, ChatGPT, and the like Reading time: 11 minutes ...
Who this is for: Engineers and non-engineer founders considering solo development or launching a startup with AI tools Assumed knowledge: Hands-on experience with AI coding tools such as GitHub C...
Who this is for: Engineers and developers who aren’t satisfied with where AI is today and want to build “what happens next” into their own decision-making criteria Assumed background: Basic hands...
Target readers: Tired knowledge workers who have heard that “mindfulness is supposed to help” or “self-compassion matters,” but can’t tell which technique actually works or where to start Prerequ...
Audience: Anyone who read the practical guide on using ADRs in DDD development and thought, “I’d like to see what actual ADRs look like.” If you’ve read the hotel-booking implementation walkthrough...
Audience: Engineers and tech leads running a project with DDD (Domain-Driven Design) who are unsure whether to use ADRs to record design decisions, or who want to nail down how to use them. If you ...
Audience: Readers who finished How to Use ADRs in DDD Development and now want to understand the reasoning and the evidence behind “why ADRs, in the age of AI.” This is for people interested in the...
Target audience: Knowledge workers and engineers who feel they must start over and learn from scratch because of AI advances Prerequisites: Some experience using AI tools like ChatGPT in your wor...
Intended readers: People who want to design a workflow where AI builds prototypes on production-grade tech stacks (Next.js / Spring Boot / Rails, etc.) and engineers later harden them for productio...
Intended readers: People who read the design-theory companion DDD-First AI Prototyping and thought, “I’d like to see what this actually looks like in motion.” Both engineers who want a Next.js impl...