Author: Zsolt Zombik (Zsolt Zombik)

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Work IQ APIs intelligence layer diagram showing M365 data flowing into a semantic context engine and out to AI agents
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Work IQ APIs: Microsoft’s New Intelligence Layer for Enterprise Agents Is Now Generally Available

June 15, 2026June 15, 2026AI & Copilot, Power Platformby

Work IQ is Microsoft's new intelligence layer for Microsoft 365, announced at Build 2026 and going generally available June 16, 2026. It gives agents — and the developers building them — a way to work with business context rather than raw data: 2x faster than traditional APIs, 80% fewer tokens, 10 MCP tools instead of hundreds, and full M365 tenant security. This post covers the architecture, the five core advantages, how to get started with the MCP server and CLI today, and what it means for Power Platform developers building on Dataverse and M365.

Microsoft MDASH multi-model agentic scanning harness — AI-powered vulnerability discovery finds 16 Windows CVEs including 4 Critical RCEs in a single Patch Tuesday cycle
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Microsoft’s AI Found 16 Windows CVEs — Including 4 Critical RCEs. Here’s How the Agentic Pipeline Actually Works

June 14, 2026June 14, 2026Power Platformby

Microsoft's MDASH agentic scanning harness found 16 CVEs in the Windows networking stack — including 4 Critical RCEs affecting tcpip.sys, IKEv2, DNS, and Netlogon. As a Power Platform Solution Architect, this is the infrastructure your solutions sit on. This post explains how the pipeline works, what the architectural lessons are, and how to use this in client governance and security conversations.

Claude Fable 5 in GitHub Copilot — Anthropic's first Mythos-class model now available for enterprise Power Platform teams
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Claude Fable 5 in GitHub Copilot — Technical Breakdown for Power Platform and Enterprise Teams

June 10, 2026June 10, 2026AI & Copilot, Claude, Power Platformby

Claude Fable 5 is Anthropic's first Mythos-class model and it's now generally available in GitHub Copilot. This breakdown covers the technical specs, the built-in Opus 4.8 fallback mechanism, the 30-day data retention requirement that breaks standard ZDR assumptions, and a practical enablement framework for Power Platform and enterprise teams operating under data governance constraints.

Dataverse MCP server — 15 named tools giving AI agents grounded, auditable access to Power Platform data
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Dataverse MCP Server: The 15 Tools That Make Power Platform Agent-Ready

June 10, 2026June 10, 2026AI & Copilot, Copilot Studio, Microsoft Foundry, Model Context Protocol, Power Platformby

Microsoft formalized the Dataverse MCP server tool shape in June 2026 — 15 named tools that give any MCP-compatible agent grounded, auditable access to your Power Platform environment. This analysis covers the full tool surface organized by risk tier, how to configure clients in VS Code and Copilot Studio, the billing model, and a dedicated security and governance breakdown: Entra ID auth, RBAC, client allowlisting, audit gaps, prompt injection risks, and the delete-override danger in the sample agent instructions.

GitHub Copilot Plan agent in Visual Studio — structured AI-assisted development with a Markdown plan reviewed before code generation
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Think Before You Build: GitHub Copilot’s Plan Agent in Visual Studio — Structured AI-Assisted Development

June 9, 2026June 9, 2026AI & Copilot, Power Platformby

GitHub Copilot's Plan agent, introduced in Visual Studio in May 2026, adds a deliberate planning phase before any code generation happens. Instead of watching AI modify files in unpredictable directions, you review and approve a detailed Markdown plan grounded in your actual codebase — before a single file changes. This guide covers how the Plan agent works step by step, how to write prompts that produce genuinely useful plans, and how to apply it to a real Dataverse plugin refactoring scenario with working before-and-after code examples.

Speaking at Nordic Summit 2026 — Microsoft Copilot Studio vs Azure AI Foundry session at LEGOLAND Hotel & Conference in Billund, Denmark
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Speaking at Nordic Summit 2026: Microsoft Copilot Studio vs Azure AI Foundry

May 28, 2026May 28, 2026AI & Copilot, Power Platformby

My session Microsoft Copilot Studio vs Azure AI Foundry has been accepted for Nordic Summit 2026 — the largest Power Platform and Dynamics 365 conference in the Nordics. Taking place 21–22 September 2026 at LEGOLAND® Hotel & Conference in Billund, Denmark, the session gives solution architects and Power Platform developers a practical decision framework and hybrid architecture playbook for choosing between the two platforms.

Entire.io captures AI coding sessions as permanent checkpoints linked to Power Platform Git commits
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Entire.io for Power Platform Developers: Why AI Coding Sessions Need a System of Record

May 23, 2026May 27, 2026AI & Copilot, AI in Development, Developer Productivity, Entire.io, Power Platformby

AI coding agents like Claude Code and GitHub Copilot generate Power Platform solutions at speed — but when the session ends, the reasoning behind every plugin stage, Client API pattern, and architecture decision disappears from the git history. Entire.io is a CLI-first system of record that captures those AI coding sessions as permanent, searchable records linked directly to your commits. This article explains why Power Platform developers need this more than most and how Entire fits into the full code-first development stack alongside microsoft/power-platform-skills and microsoft/Dataverse-skills.

Power Apps Code App calling Dataverse actions, functions, and Power Automate flows with TypeScript service classes and the npm CLI
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Dataverse Actions, Functions & Flows in Power Apps Code Apps: Complete Guide 

May 4, 2026May 4, 2026Canvas Apps, Power Apps code apps, Power Platformby

I've been building Power Apps Code Apps for a while now, and the question that kept coming up was always the same: how do I call actual server-side logic from here? With the @microsoft/power-apps npm CLI hitting v1.1.1, that question finally has a clean answer. This guide walks through everything — discovering and scaffolding Dataverse actions, functions, and Power Automate flows, the generated TypeScript service classes, error handling, deployment, and the architectural decisions I'd make on a real project.