Tag: AI
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MCP vs API: What’s Actually Different, and Why You’ll End Up With Both
MCP doesn’t replace your APIs — it sits on top of them and solves a different problem: letting an AI model discover and use your systems without custom integration code. The real differences, the false dichotomy, and a decision rule for when each applies.
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Securing MCP in Production: OAuth, Agent Identity, and What a 2026 Security Review Actually Covers
MCP auth has hardened fast — resource indicators, issuer validation, CIMD instead of dynamic registration. But the gaps that hurt companies in production are mostly not in the protocol. What a real MCP security review covers in 2026, layer by layer.
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How to Build an MCP Server in 2026: From First Tool to Production
Most MCP server tutorials stop at “hello world” — and most were written before the protocol went stateless. The build sequence we use for client work: scoping the tools, choosing the SDK, auth, testing against a real client, and shipping something production actually accepts.
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2,000 MCP Servers and Counting: How to Choose, Vet, and Connect Them Without Getting Burned
The MCP Registry now lists nearly 2,000 servers, the protocol lives under the Linux Foundation, and MCP Apps put interactive interfaces inside the chat. A practical guide to picking connectors you can trust — and knowing when to build your own instead.
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MCP Goes Stateless: What the July 2026 Spec Overhaul Means for Your AI Integrations
The 2026-07-28 MCP specification is the biggest rewrite since the protocol launched — stateless by default, cheaper to scale, and with a 12-month clock on several things your integration may depend on. What changed, and what to actually do about it.
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From Vibe-Coded Prototype to Production: The 12-Point Audit
Your AI-built prototype works and someone wants to pay for it. The twelve checks we run before that is safe — and the one question that decides whether it needs hardening or a rebuild.
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Claude Code MVP: How to Build and Ship One in Six Weeks (2026 Playbook)
How to build an MVP with Claude Code: the six-week structure we use on client work — what to scope, what to cut, the four decisions that decide whether week six ends in a launch, and the FAQ founders ask before starting.
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How to Vet an AI-Assisted Development Agency: 9 Questions to Ask in 2026
Every agency says it builds with AI. Nine questions that separate a disciplined engineering process from a prompt-and-ship one — plus the data on why it matters.
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Claude Code + Claude Design: A Friendly Guide to Shipping Apps That Are Actually Good
A step-by-step walkthrough of how we build with Claude Design and Claude Code in 2026 — the spec, the design system, plan mode, verification loops, subagents and the failure patterns to avoid. Plus an honest look at the last 20% that still needs a professional developer and designer.
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MCP Explained: What the Model Context Protocol Means for Your Business in 2026
MCP has become the standard for connecting AI models to real business systems. What it is, why it matters in 2026, the security risks vendors gloss over, and how to pilot it in weeks — explained without the jargon.