MCP
MCP v2 Beta Is Here: The Stateless Migration Has Begun
MCP v2 beta ships a stateless architecture. Here is what breaks, which SDK packages to pin, and how to sequence your migration before the 2026-07-28 spec.
8 days ago
Mcp
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MCP
MCP v2 Alpha: The July 28 Protocol Shift to Plan For
MCP v2 Alpha changes stateless routing, SDK pins, authorization, and rollback planning before the July 28, 2026 spec date.
26 days ago
MCP
Codex 0.119.0: The Plugin System That Changes Everything
Codex v0.119.0 ships a full plugin system to stable. What MCP Apps, WebRTC voice, and the new extension SDK mean for AI-assisted development teams.
2 months ago
MCP
The API Renaissance: Why Agent-Accessible APIs Are the New Moat
Agent-accessible APIs are the new competitive moat. Learn why MCP integrations, schema-first design, and tool discovery mechanisms determine which SaaS products AI agents will use.
3 months ago
MCP
MCP Ecosystem in 2026: What the v1.27 Release Actually Tells Us
TypeScript SDK v1.27.1, Python SDK v1.26, OpenAI Agents SDK v0.12.x MCP integration, and Google ADK v2.0 Task API — where the MCP ecosystem actually stands in March 2026.
4 months ago
MCP
The AI Model Reset: The Most Important Releases of February 2026
February 2026 reshuffled the AI landscape: Claude Opus 4.6 and GPT-5.3-Codex launched on the same day, Gemini 3.1 Pro followed two weeks later. The result: no single 'best' AI model anymore — but clear lanes for coding, reasoning, and multimodal tasks.
4 months ago
MCP
CLIs, MCP Apps & Agent Skills: The Future of Software Dev
The old app model is dying. 11,393 AI agent tools, 97M MCP downloads per month, 35x CLI token efficiency.
4 months ago
MCP
Building AI Agent Memory with Convex: Full Architecture
How we built Cortex, a cognitive memory system for AI agents on Convex — with sensory, episodic, and semantic stores, memory decay, spreading activation, and zero infrastructure cost.
5 months ago
MCP
AI Workflows: Skills, Cron Jobs & MCP Tools in OpenClaw
Everything we learned building 13 cron jobs, 78 MCP tools, and production skills in OpenClaw. Copy-paste examples, real-world patterns, and hard-won lessons from running autonomous AI workflows.
5 months ago
MCP
Xcode 26.3: Apple Integrates Claude and Codex for Agentic Coding
Apple opens Xcode to external AI agents — marking the beginning of a new era in app development with Claude, Codex, and MCP support.
5 months ago
MCP
ACP vs MCP: The Protocol War That Will Define AI Coding in 2026
MCP connects agents to tools. ACP connects agents to each other. Together they form the communication stack for next-gen AI systems. Full comparison with code examples.
5 months ago
MCP
AI Ecosystem Update Week 4/2026: ChatGPT Tests Ads, Claude Cowork Goes Live, and Critical MCP Security Flaws
Week 4/2026 brings major AI updates: OpenAI tests ChatGPT ads for 800M users, Claude Cowork automates desktop tasks, Google connects Gemini to Gmail and Photos – and critical MCP security flaws reveal new risks for AI agents.
6 months ago
MCP
AI Ecosystem Update Week 3/2026: Apple-Google Mega-Deal, ChatGPT Health, and the Future of Developer Tools
Comprehensive analysis of the most important AI developments in week 3 of January 2026: Apple-Google partnership for Siri with 1.2T parameter Gemini model, Claude Code 2.1.9 security updates, OpenAI Codex v0.86.0 with skills, ChatGPT Health, MCP under Linux Foundation, and critical deprecations. With practical use cases and concrete recommendations.
6 months ago
MCP
Connect n8n and Claude Code: Complete MCP Integration Guide 2026
Complete guide to integrating n8n with Claude Code via the Model Context Protocol (MCP). Learn how to automatically create, validate, and deploy n8n workflows with AI – using just a single prompt.
6 months ago
MCP
Claude Code Agent SDK: The Complete Beginner's Guide to Building AI Agents (2026)
Learn step by step how to create autonomous AI agents with the Claude Code Agent SDK. This beginner's guide includes practical code examples, from simple chatbots to complex agents with tools, memory, and subagents.
6 months ago
MCP
AI Release Intelligence January 2026: Claude Code 2.1, OpenAI Connectors, MCP 1.0 and Gemini 3 - What Developers Need to Know Now
January 2026 brings transformative updates: Claude Code 2.1.0 with skill hot-reload and context fork, OpenAI Connectors and Agent Builder, MCP 1.0 roadmap, and Gemini 3 Flash. Complete analysis of what developers need to know now.
6 months ago
MCP
Claude Code 2.1.0: The Biggest Update for AI Developers - All Features with Practical Examples
Claude Code 2.1.0 brings revolutionary features for AI developers: Skill Hot-Reload, Context Fork, MCP list_changed notifications, and more. Complete guide with practical examples.
6 months ago
MCP
From Mode Collapse to Context Engineering: How We Build Reliable AI Systems (2026)
Two fundamental challenges define LLM development in 2026: Mode Collapse reduces output diversity through alignment training, while Context Rot degrades model performance as context windows grow. This article analyzes both phenomena and presents practical solutions like Verbalized Sampling and systematic Context Engineering.
6 months ago
MCP
Claude Code Plugins: The Complete Guide to the Extension System 2025
Claude Code Plugins revolutionize AI-powered development. Understand the differences between Skills, Plugins, MCP Servers, and Agents – and extend Claude Code with custom functionality.
6 months ago
MCP
My Favorite MCP Servers in January 2026 – The Best Tools for AI-Powered Development
My personal selection of the best MCP servers for January 2026: From Desktop Commander to Context7 to Brave Search – these tools transform AI-powered development.
6 months ago
MCP
AI Agents in the Financial Sector: The Practical Implementation Guide
A comprehensive practical guide for implementing AI agents in the financial sector. With complete architecture patterns, production-ready code, and honest assessments of what works and what doesn't.
6 months ago
MCP
Context Engineering: How to Build Reliable LLM Systems by Designing the Context
Context engineering is the discipline of curating, structuring, and defending everything that reaches the LLM at inference time. This comprehensive guide covers 2026 best practices for building reliable AI systems.
6 months ago