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Practical articles on AI agents, MCP, Next.js, and developer execution
This blog supports a developer portfolio focused on real delivery. The strongest articles go deep on AI agents, MCP, LangChain, Next.js, portfolio SEO, and production workflows that help teams ship.
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These are the articles most aligned with my current positioning: AI agent systems, developer tooling, and portfolio pages that help recruiters or clients evaluate real work.
GitHub Copilot Cloud Agent Explained: Features, Guardrails, and Team Use Cases (April 2026)
A practical guide to GitHub Copilot cloud agent for engineering teams: branch-first workflow, plan-before-code, signed commits, runner controls, firewall settings, SDK, and security guardrails.
Read the articleHow AI Agents Actually Work: Architecture, Memory, Tools, and the Agent Loop
A technical walkthrough of AI agent architecture: the agent loop, tool use, memory (RAG/vector DBs), evaluation, and common production failure modes.
Read the articleWhy AI Agents Fail (And How to Fix Them)
A practical guide to AI agent failures in production and how to fix them with better prompts, memory design, tool gating, evaluation, UX, and security.
Read the articleHow to Build AI Agents with LangChain: Complete 2026 Tutorial
Step-by-step tutorial to build production-ready AI agents with LangChain. From setup to deployment with tools, memory, evaluation, and error handling.
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