Claude Skills vs MCP Servers: Production AI Workflows in 2026
Hands-on comparison of Claude Skills and MCP servers from six AI products in production. Token economics, OAuth gaps, and a decision framework.
Hands-on guides, tool comparisons, and behind-the-scenes looks at how modern teams use AI.
Helicone went into maintenance mode after Mintlify acquired it in March 2026. Langfuse joined ClickHouse. Here is how I picked an LLM observability platform across our six AI products in production — and which one I would skip.
Hands-on comparison of Claude Skills and MCP servers from six AI products in production. Token economics, OAuth gaps, and a decision framework.
I tested Browser-Use, Stagehand, and Playwright MCP across the daily import pipelines for our 7 aggregator blogs over 30 days. Here is the cost, latency, and breakage data — plus which stack survived production.
After 3 months of building memory into BizChat and ServiceBot, here's the honest breakdown of Mem0, Letta, and Zep — pricing, benchmarks, and which one I'd pick for each use case.
Three weeks, 360 simulated calls, $480 in burned credits. Here's what I learned picking a voice agent stack for ServiceBot AI Helpdesk in 2026.
Salesforce reported Reddit cut average advertiser support resolution time by 84 percent using Agentforce. I reverse-engineered the architecture and copied 5 patterns into our own ServiceBot helpdesk. Here is what worked, what did not, and the real build-vs-buy math at SMB scale.
Testing six AI code review tools on real production codebases \u2014 Laravel, Vue.js, LangChain, Flutter. Here's what CodeRabbit, PR-Agent, Qodo, Sourcery, Copilot Review, and Devin actually catch in 2026.
Choosing the right vector database for your RAG pipeline? This hands-on comparison covers Pinecone, Qdrant, Weaviate, and pgvector — with real latency numbers and a clear decision framework for 2026.
GPT-5.4 brings a 1M token context window, native computer use, and tunable reasoning effort to the OpenAI API. Here is a practical breakdown from integrating it into two production systems.
Google ADK and LangGraph are the two leading AI agent frameworks in 2026. This hands-on comparison covers architecture, performance benchmarks, observability, and a real-world verdict from building 6 AI-powered production products.
After building ContentForge AI Studio and DocSumm AI Summarizer with both frameworks, here is my honest production comparison of PydanticAI vs LangChain in 2026 — type safety, ecosystem, developer experience, and where each actually wins.
A production-tested comparison of the three leading multi-agent AI frameworks in 2026: LangGraph, CrewAI, and AutoGen — with real benchmarks, code examples, and a decision matrix from 11+ years of software engineering.