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.

Microsoft Entra Agent IDs (GA July 2026) give every Copilot Studio agent a proper identity, enabling Conditional Access, lifecycle management, and audit trails. Here's what the governance model looks like in practice.

Copilot Studio's connected agents feature (A2A protocol, GA April 2026) lets you build orchestrator + specialist topologies. Here's the architecture and when it's worth the complexity.

Copilot Studio's GitHub Copilot harness organizes agent tools into three types: connectors, MCP servers, and workflows. Here's when to use each and how to set them up.

Skills make agent capabilities reusable and shareable; Memory gives agents per-user persistent context. Both are exclusive to the GitHub Copilot harness and change how you structure complex agents.

The GitHub Copilot harness replaces the classic node-based canvas with a four-tab authoring surface. Here's what each tab does and how to structure your agent configuration.

Microsoft's GitHub Copilot harness — now generally available in Copilot Studio — is a fundamentally different agent runtime built for complex multi-step work. Here's what changed and what it means.

Most organisations have an AI governance policy and no implementation — here's what governance looks like when it's actually running at the engineering team level.

The skills that were table stakes for senior engineers two years ago are depreciating fast — here's where to invest your learning time heading into 2027.