In my previous post I summarized Anthropic's AI-Native SDLC Playbook , which explains how to redesign the software lifecycle once AI agents can write code faster than your process can absorb it. This post is the practical follow-up: how to actually apply it to a web development project, step by step , with files you can copy into your own repo. Throughout this post I'll use one running example: a Next.js + TypeScript e-commerce app that needs a new "Wishlist" feature. The same steps work for React + Node, Vue, Laravel, Django, or any other web stack. Only the commands change. The workflow at a glance Each stage ends by committing a file, and the next stage starts by reading it: Plan → docs/intent/wishlist.md (what and why) Design → docs/specs/wishlist.md (how) Build → code + tests (guided by CLAUDE.md and Skills) Test → passing tests + CI evals Deploy → PR with AI review findings → human approval → CI/CD Maintain...
When writing SQL queries, understanding the execution order is crucial for writing efficient and optimized code. Many beginners assume that queries execute in the order they are written, but in reality, SQL follows a specific sequence of execution. SQL Execution Order SQL queries run in the following order: 1️⃣ FROM + JOIN 2️⃣ WHERE 3️⃣ GROUP BY 4️⃣ HAVING 5️⃣ SELECT (including window functions) 6️⃣ ORDER BY 7️⃣ LIMIT Let’s break down each step with examples. 1. FROM + JOIN (Data Retrieval) The SQL engine first retrieves data from the specified table(s) and applies any JOIN operations. 🔹 Example: SELECT employees.name, departments.department_name FROM employees JOIN departments ON employees.department_id = departments.id; Here, the JOIN happens before any filtering ( WHERE ) or grouping ( GROUP BY ). 2. WHERE (Filtering Data) Once data is retrieved, the WHERE clause filters rows before aggregation occurs. 🔹 Example: SELECT * FROM employees WHERE salary > 50000 ; Thi...
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