The author details a two‑month experiment that combines Claude Code, Codex, and Gemini into a four‑step AI‑driven development pipeline, showing how each model’s strengths complement the others to double coding efficiency for medium‑to‑large projects.
The article examines why AI agents need a unified workflow, introduces three popular tools—Spec‑Kit, OpenSpec and Superpowers—details their architectures, data‑flow and core features, shows practical installation and usage examples, and offers scenario‑based recommendations and limitations to help developers pick the right solution.
This article explains how Spec‑Driven Development (SDD) uses structured, machine‑readable specifications as the single source of truth, introduces the open‑source OpenSpec/OPSX workflow that turns those specs into actionable AI‑driven steps, and compares it with OpenAPI, BDD, and traditional RFC processes.
This newsletter curates five insightful articles that explore AI evaluation engineering, the evolution of AI memory from RAG to Agentic RAG and Agent Memory, AI‑driven fault postmortem agents, a test‑driven AI coding‑deployment‑self‑test loop, and the lightweight Java‑based TinyAI framework.
