What works. What breaks. Patterns that last.
AI tools change fast. The engineering underneath changes slower. These articles collect, collate, reflect, and observe the latest trends, issues, and tools.
AI SEO in 2026: Structured Data as Identity Layer
In 2026, structured data stopped being a rich-result optimisation and became an identity layer. What the MLAD prompt corpus and a production SEO spec reveal about the gap between being found and being cited.
What 5,399 Prompts Reveal About Marketing AI Architecture
Hightouch crossed $100M ARR by grounding AI in brand context before generating anything. A browsable corpus of 5,399 classified prompts shows the same architecture emerging independently across open-source marketing skills, coding workflows, and commercial products.
Simple Skill, Full API: Replacing an MCP with 218 Lines
An MCP server silently dropped 9 Ghost API fields. We replaced it with a 218-line Claude Code skill that passes calls straight through the client library.
Skills Are More Context-Efficient Than MCP
MCP servers can consume 55,000 tokens of Claude Code's context window before you type. Skills achieve the same automation at 3x lower cost. Token comparison for Playwright and a framework for choosing the right approach.
Securing Your Vibe-Coded App
Nearly half of AI-generated code contains security flaws. Five checks every vibe-coded app needs: server-side auth, secrets management, access control, XSS prevention, input validation. Platform fixes for MoltBot, Lovable, Codex, and Cursor.
A Taxonomy for AI Prompts
A classification system for AI coding prompts, built from 1,751 real prompts across 12 sources. Three types and four axes turn ad-hoc prompting into deliberate practice. Browse the full collection in the interactive Prompt Explorer.
The Proposal-Driven Cycle
A lightweight workflow for AI coding that captures intent alongside code. Proposal, Plan, Execute, Record. Version Docs complement git history so you can audit decisions, seed new contexts, and scale documentation to match task complexity.
Understanding System Prompts
How system prompts shape AI behavior and why they matter for consistent tooling.
Advanced Prompt Engineering Patterns
Chain-of-thought, few-shot, and self-consistency patterns for production AI systems.