Document-Driven WordPress: Beyond Vibe Coding with Novamira
How a strict Document-Driven Development workflow, Novamira runtime MCP on dev, in-browser visual feedback, and WP Studio replace AI hallucination in WordPress.
Tag: ai
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108 Unit Tests in 6 Hours: Reliable AI Coding on One Repo
Three developers, one tester, local AI agents, one repo, six hours. What kept 108 tests green after a restart, and what a hackathon PoC does not prove.
AI Act Content Labeling: When Article 50 Actually Applies
AI Act content labeling is not label-everything or label-nothing. Article 50 turns on role, content type, and context. Here's how to decide.
Where AI Agents Perform: Laravel vs WordPress vs Astro
Same AI agents, three stacks, different results. What matters is how much of the system is visible from the repo and how cheap verification is - not training data.
WordPress vs the World: Why the Dichotomy Survives AI
Stack-switching is cheaper than ever, yet WordPress is still set against the rest of the CMS world. This isn't really about code - it's about who owns the publishing workflow.
When an AI Vendor Cuts You Off: A Stack Risk Lesson
Anthropic pulled its newest models worldwide after a US government directive targeted foreign nationals. The stack lesson: model access is a revocable dependency.
Why Git Context Beats Memory Agents in Client Work
Why auditable git-tracked context beats agent memory you cannot version, review, or scope when many client repos run in parallel for paid work.
AI Skills as Workflow Infrastructure for Technical Work
AI skills turn repeated decisions into reviewable workflow infrastructure by packaging context, procedures, tools, and acceptance criteria for technical work.
AI Quality Gates Beat Checklists in Content Pipelines
Why blocking scripts outperform manual review in AI content workflows: deterministic gates catch what tired humans skip under deadline pressure.
Symbolic Regression and Minimal Basis Stack Audits
Symbolic regression finds formulas, not predictions. What the EML operator teaches developers about stack redundancy and interpretable ML alternatives.
CMS Trends 2026: What Matters and What's Just Hype
CMS trends 2026: composability fatigue is real, AI earns its place only in narrow workflows, and GEO is changing how you should model content.
AI Leverage and the Cost of Developer Ignorance
AI doesn't replace developers - it multiplies them. But ignoring it means everyone else scales while you stay linear.
Astro + AI vs WordPress for Simple Content Sites
AI does not replace WordPress, but it changes the threshold at which a simple expert blog may no longer need a traditional CMS - and that shifts the decision.