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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.

GitHub Agentic Workflows automating repository management and Power Platform development — AI agents handling issue triage, documentation, testing, and deployment
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GitHub Agentic Workflows: The Next Evolution of Repository Automation for Power Platform and Enterprise Developers

Traditional GitHub Actions workflows are powerful but deterministic — they can only do what you explicitly tell them. GitHub Agentic Workflows change that. Launched in February 2026, they bring AI coding agents (Copilot CLI, Claude Code, Codex) into GitHub Actions with natural language specifications, security guardrails, and human review. Instead of writing imperative YAML, you describe outcomes in plain language and let AI agents figure out the implementation. This guide explores the six core automation categories and practical applications for Power Platform developers managing PCF controls, Dataverse solutions, and ALM pipelines.

The Risk Decision Matrix for GitHub Copilot CLI Autopilot Mode in Power Platform
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The Risk Decision Matrix for GitHub Copilot CLI Autopilot Mode in Power Platform

GitHub Copilot CLI Autopilot mode reached GA in February 2026 — but for Power Platform, autonomous PAC CLI execution carries real risk. This article builds a scored Risk Decision Matrix mapping every PAC CLI operation to one of four zones: full Autopilot, conditional, Plan Mode only, or human-only. Includes a calculable Autopilot Safety Score formula, a ready-to-use AGENTS.md template, and preToolUse hook enforcement patterns grounded in Singapore IMDA, AWS, and McKinsey agentic governance frameworks.

GitHub Copilot CLI Is Now Generally Available — And Power Platform Developers Should Pay Attention
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GitHub Copilot CLI Is Now Generally Available — And Power Platform Developers Should Pay Attention

GitHub Copilot CLI is now generally available for all paid Copilot subscribers. This article breaks down what that means for Power Platform developers — covering the official Microsoft Power Platform Skills plugin, real-world PAC CLI and PCF scenarios, Agent Skills ecosystem by developer profile, and a full Copilot CLI vs Claude Code comparison.

Power Apps MCP Server agent feed — AI agent extracting Dataverse records with human approval interface — AIDevMe 2026
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Power Apps MCP Server: Complete Guide to Every Feature (Public Preview 2026)

The Power Apps MCP (Model Context Protocol) Server is now in public preview. It exposes three tools — invoke_data_entry, request_assistance, and log_for_review — that let AI agents automate tasks inside model-driven apps with built-in human supervision via a redesigned agent feed. This guide covers every feature, technical detail, current limitation, and step-by-step setup path.