
WorkBuddy + Hy4: A Practical Game-Prototyping Workflow
How to evaluate WorkBuddy and Hy4 for game prototypes across engine state, MCP actions, visual quality, testing, and clean hand-off.
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How to evaluate WorkBuddy and Hy4 for game prototypes across engine state, MCP actions, visual quality, testing, and clean hand-off.
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A practical WorkBuddy MCP guide covering user and project configuration, permissions, credentials, testing, and failure recovery.
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A practical map of the 2026 AI agent stack: model providers, tool protocols, Skills, orchestration, and runtimes, with a clear guide to where each layer belongs.
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A practical guide to using X/Twitter search, trends, tweet detail, and profile data in AI agent workflows with SandBase, including boundaries, retries, caching, and safe tool design.
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Claude Agent SDK setup guide for Python and TypeScript: installation, pricing, agent loop, permissions, MCP, sessions, and production gateway choices.
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Learn how to configure GitHub's official MCP Server with toolsets, read-only mode, OAuth, and lockdown controls for Copilot, Claude, and production coding agents.
ReadA reproducible workflow combining a portable research Skill with sandboxed execution, audit trails, and replay using two open-source SandBase projects.
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Install the open-source SandBase CLI, connect Codex, Claude Code, Cursor, Gemini CLI, and other AI clients, and expose six MCP tools for a catalog of 2,000+ models and APIs.
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SandBase Managed Agents is an open-source, local-first agent runtime with CMA-compatible APIs, multiple sandbox backends, and model-agnostic design.
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A step-by-step guide to migrating your MCP server from the session-based model to the new stateless 2026-07-28 spec. Includes before/after code, checklists, and FAQ.
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Agent Plugins is a new open standard for portable AI agent plugin packages. One format, every client. Learn how plugin.json, skills, and MCP servers fit together.
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How Cloudflare's serverless platform became the perfect deployment target for stateless MCP servers, with updated SDKs and zero-config scaling.
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Learn GitHub Copilot Agent Mode setup, MCP tools, permissions, pricing and runtime limits, with Microsoft Agent Framework examples for .NET and Python.
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Google led the biggest MCP spec change since launch—removing stateful sessions entirely. Here's how the 2026-07-28 spec makes MCP cloud-native.
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The MCP protocol dropped sessions and went stateless on July 28, 2026. What changed, why it matters for production agents, and how to migrate your servers.
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The MCP protocol gives AI agents a standard way to discover and call tools. How it works, how to build a server, and the ecosystem in 2026.
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The 7 best MCP servers for AI agents in 2026, ranked. Composio, Zapier MCP, Arcade, Workato compared on tool count, latency, and agent compatibility.
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MCP execution boundaries help production AI agents use tools safely. Learn what to control after tools are connected and before loops run.
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Build a custom MCP server that lets any AI agent run data analysis on your CSVs and databases. A complete, runnable TypeScript walkthrough.
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MCP vs function calling for AI agents: they solve different layers of the same problem. When to use each, how they compose, and the token-cost trade-off.
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Step-by-step guide to connecting MCP servers to your AI agent. Setup, authentication, tool discovery, error handling, and production deployment patterns.
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