AI Agents & MCP
An agent is only useful if it can be trusted with real work. This is where I write about agent architecture, when to split into multiple agents, MCP servers, tool design, and the guardrails that keep agents safe in production.
Explore AI agent development services for building reliable, production-ready AI agents. Learn about architecture, integrations, security, testing, deployment, and costs.
The security requirements for deploying autonomous AI agents in production: identity, least privilege, prompt injection defenses, human approval, audit logs, and more, mapped to OWASP and NIST guidance.
A hiring scorecard for choosing an AI engineer to build production agents with human fallbacks: what to weigh, questions to ask, and red flags that predict a fragile demo.
Most AI courses teach clever prompts. Real jobs run on messy GST invoices, vendor contracts, and WhatsApp threads with actual consequences. Here's why I built Praxismith: two courses on turning fragile AI chats into systems you can defend to your manager.
AI workflow automation uses AI agents to automate multi-step business processes that traditional automation can't handle. Learn how it works, where it adds value, and how to build it.
Most developers build agents with tools. That's not enough. Here's the architectural difference between agent tools and agent skills — and why getting this wrong burns tokens, degrades accuracy, and makes your agents brittle in production.
You built one AI agent and it worked. Then it got slower, started forgetting things, and ended up with access to databases it shouldn't touch. Here's what's actually happening — and four coordination patterns to fix it.
A founder-friendly 2026 guide to picking the right approach—rules-based automation, a chatbot, or a tool-using AI agent—based on risk, ROI, and operational reality.
AI coding tools are changing how developers work. Not by replacing them, but by helping them plan, test, and build software faster. Here’s the simple explanation.
Learn how to create a spec-compliant MCP server from scratch using TypeScript, Express, and Zod, and use it seamlessly with Cursor.
Explore the key differences between Agent-to-Agent (A2A) communication and Modular Contract Protocols (MCP) — and why you need both to build powerful AI systems.
Learn how I wrapped the Hacker News API into a modular, LLM-ready MCP server with Zod contracts and OpenAPI support using zod-openapi.