Category: AI & Copilot

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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

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

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

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

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

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.

VS Code vs Windsurf vs Cursor: The definitive 2026 AI coding editor comparison
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VS Code vs Windsurf vs Cursor: My Honest Take After 6 Months Using All Three

After spending hundreds of hours with all three editors, here's the bottom line: VS Code + Copilot is the reliable workhorse with unmatched ecosystem support. Windsurf + Cascade is the AI-native innovator with continuous context awareness. Cursor is the agentic middle ground with excellent tab completion and Composer mode. Each excels in different scenarios, and for Power Platform developers? The answer depends entirely on your workflow. Let me show you exactly how to choose.

Enterprise architecture diagram showing AI agent governance framework with Managed Environment security layer, MCP server gateway, DLP policies, ALM pipeline stages, and cost monitoring dashboard displaying $200-800 monthly range
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Dataverse Skills for Enterprise Architects: Governance, ALM, MCP Billing, and Production Readiness

Enterprise architects evaluating Dataverse Skills need answers to governance, economics, and integration questions before approving adoption. This comprehensive guide addresses MCP billing models (with real-world cost benchmarks: $200-800/month for 20-100 developers), Managed Environment security architecture, ALM pipeline integration patterns, and production deployment strategies. Learn the governance implications of 6-10x faster schema creation, understand Business Skills vs Developer Skills clarity, and get actionable recommendations for environment segmentation, DLP policy configuration, and cost control. Based on production learnings from early adopter organizations across consulting firms, ISVs, and enterprise CoEs.