A 30-day series on what changes when an engineering team — not just an individual engineer — adopts AI as a first-class part of how they work. From culture and workflows to governance and the human side.

A structured 30-day blog roadmap covering Claude Code, GitHub Copilot, Microsoft Copilot Studio, agentic AI, coding agents, and AI in SDLC — from a Lead AI Engineer with 11 years of experience.

OpenSpec is an emerging open standard for writing AI-executable specifications — structured enough for agents to implement, human-readable enough for engineers to review.

Traditional SAST tools miss business logic flaws and context-dependent vulnerabilities — here is how to layer AI-assisted scanning on top, including custom security agents and triage automation that actually reduces noise.

Prompt injection has matured into a genuine threat model for production agents — here is a technical breakdown of 2026 attack patterns, which defences actually work, and what you cannot solve at the model level.

BMAD is an open-source framework for structured AI-assisted development — it uses multiple AI agent personas, structured document templates, and a defined workflow to produce production-grade software with agentic AI.

AI-generated code accumulates debt in patterns distinct from hand-written code — copy-paste proliferation, missing abstractions, inconsistent error handling — and managing it requires intentional refactoring strategies.

GitHub Speckit brings structured spec-driven workflows to GitHub Copilot — turning issue-linked specs into executable instructions Copilot Workspace can act on directly.

Unit tests break down when the same input does not produce the same output — here are the testing strategies that work for AI systems: distribution testing, property-based testing, embedding-based regression, and golden datasets.

AWS Kiro is Amazon's spec-first AI IDE — you write a spec, Kiro generates the implementation, tests, and documentation. Here's how it works and where it fits.