Technical Architecture & Design
Understanding how the tools work helps you use them better—and debug them when they don't.
This category explores the technical foundations of AI-assisted development tools. From how Claude Code processes your requests, to how the Model Context Protocol enables tool integration, to why sometimes bash is all you need.
Articles in This Category
| Article | Author | Key Question |
|---|---|---|
| How Claude Code Works | Outsight Team | What happens behind the scenes when you talk to Claude Code? |
| MCP: What It Is and Why It Matters | Addy Osmani | What is the Model Context Protocol and why should you care? |
| Build Agents with Filesystems and Bash | Vercel Team | Can simple filesystem tools outperform complex agent architectures? |
| Testing If Bash Is All You Need | Vercel & Braintrust | How do different tool abstractions compare in practice? |
| Self-Improving Coding Agents | Addy Osmani | Can coding agents learn and improve autonomously? |
| Multi-Agent Systems for AI-Native Engineering | Resolve AI | How do multi-agent systems handle production-grade challenges? |
Reading Recommendations
- Curious about internals? Start with "How Claude Code Works"
- Building integrations? Read "MCP: What It Is and Why It Matters"
- Optimizing agent performance? Compare "Filesystems and Bash" with "Testing Bash vs SQL"