Technical articles on Claude, agentic AI, and certification preparation.
A practical guide to building AI agents with Claude. Covers the agentic loop lifecycle, single-agent vs multi-agent patterns, the coordinator/specialist architecture, the Claude Agent SDK, and what Domain 1 of the certification exam actually tests.
Read article →A practical guide to the Model Context Protocol. Explains how MCP servers, clients, and transports work — with runnable code examples and architectural patterns for real production use.
Read article →Technical walkthrough of CLAUDE.md configuration, the file hierarchy, modular @import organisation, and how Claude Code uses these files during sessions.
Read article →Guide covering plugin commands, structure, bundling, and marketplace integration. Explains how plugins extend Claude Code with domain-specific tools and slash commands.
Read article →General availability announcement with implementation examples, the new API parameter format, and what structured outputs mean for the exam's prompt engineering domain.
Read article →Hands-on techniques including system prompt design, few-shot examples, output validation patterns, and how to avoid common anti-patterns like prompt injection.
Read article →Strategies for preserving data integrity in long sessions without progressive summarisation losses. Covers rolling summaries, anchoring, and RAG as alternatives.
Read article →Comprehensive exam preparation covering all five domains with study strategy recommendations, time allocation advice, and the most commonly tested concepts.
Read article →Overview of new features relevant to architects: expanded context windows, improved tool use reliability, and updates to the Agent SDK.
Read article →A balanced, technical comparison of Claude and ChatGPT for developers. Covers API design, context windows, tool use, structured output, coding performance, and pricing.
Read article →