Tag: AI Coding Agents

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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

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.

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

April 27, 2026April 27, 2026AI & Copilot, Power Platformby

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.

Setup wizard interface showing Dataverse Skills installation progress with CLI terminal displaying completed configuration steps and AI agent ready to connect to cloud database
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Getting Started with Dataverse Skills: Install, Configure, and Build Your First Agent-Driven Solution

April 4, 2026April 19, 2026AI & Copilot, Power Platformby

Ready to build Power Platform solutions with AI? This comprehensive tutorial covers the complete Dataverse Skills installation process for both GitHub Copilot and Claude Code. Learn how to configure PAC CLI authentication, enable the Dataverse MCP server in Managed Environments, and build your first agent-driven solution from a single natural language prompt. Includes enterprise-tested authentication patterns, troubleshooting common errors, and a real-world project tracking system built entirely by AI. Perfect for Power Platform developers transitioning to intent-driven development workflows.

Visual transformation from fragmented traditional Power Platform development tools on the left to streamlined AI-powered Dataverse Skills workflow on the right, connected by a blue transformation arrow. Shows MCP Server, Python SDK, and PAC CLI working together in harmony.
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The Complete Guide to Dataverse Skills: From Intent to Enterprise Production

April 3, 2026April 12, 2026AI & Copilot, Power Platformby

Microsoft's Dataverse Skills transforms Power Platform development from manual tool orchestration to AI-driven intent. This comprehensive guide covers the complete journey: understanding the paradigm shift from scripts to natural language, installing and configuring for GitHub Copilot and Claude Code, mastering custom skill development with YAML frontmatter, and implementing enterprise governance with MCP billing controls and ALM integration. Whether you're a developer learning intent-driven workflows or an architect evaluating production readiness, this series provides the technical depth and real-world insights you need

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

March 30, 2026March 31, 2026AI & Copilot, Claude, GitHub Copilot, Pcfby

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.

agents.md best practices for GitHub Copilot specialist agents
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Stop Writing Vague AI Prompts: The Developer’s Playbook for Mastering agents.md in 2026

February 28, 2026February 28, 2026AI & Copilot, GitHub Copilotby

Your AI agent just modified the wrong file. Again. Before you blame the model — when did you last check what instructions you actually gave it?
Most developers hand a powerful coding agent a vague persona and wonder why results are inconsistent. GitHub's analysis of 2,500+ repositories reveals the uncomfortable truth: the gap between agents that work and agents that guess comes down to one file you're probably not writing correctly.
In this guide: the six pillars of a high-performing agents.md, a production-ready Dataverse plugin agent template, and the maintenance habit that keeps your AI sharp as your codebase grows. Your agent is only as good as the manual you write for it.