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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.
AI Agents Are Not Chatbots Anymore. They Are Becoming the New Operating Layer.
AI agents are moving from chat windows into browsers, search, codebases, workflows and internal tools. The winning developers will know how to design that operating layer.
Read the articleAI Coding Agents Don’t Need Better Prompts. They Need a Harness.
The real failure mode with Claude Code, Codex, Cursor, and Copilot is not prompt wording. It is context rot, tool access, weak permissions, and missing verification.
Read the articleAI Coding Agent Guardrails: Use Cursor, Claude Code, and Codex Without Breaking Production
A practical workflow for using AI coding agents on production codebases with sandboxing, scoped credentials, approvals, CI gates, audit logs, and rollback discipline.
Read the articleGitHub 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.
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