Most 'AI marketing agencies' are the same service with a new hero section and a 15-20% price hike. Here are five questions that cut through the pitch.

A UI architect tested an AI coding agent on a real Angular page, got 30-second scaffolding full of problems, then fixed it with a structured prompt contract. Here is the exact template.

Matt Blumberg breaks down the exact build cycle non-coders use with AI tools: one idea, one handoff prompt, one push, repeat. Here is how it works in practice.

Install OpenAI's Codex CLI on Linux, sign in from a headless server, and configure sandbox modes before the agent touches a single file you care about.

Solo consultants charge £750 to £3,500 for an AI marketing audit. Here is what a proper one includes, a real case study, and the red flags that mean you're paying for a brochure.

Vibe coding lets non-developers ship software using plain English prompts. Here are 6 concrete business models, the tools you need, and the pitfalls to avoid.

AI coding agents build faster than you can follow. This 3-round framework by Xi Yang closes the gap between what the agent designed and what you actually understand.

AWS published an open source repo that lets Kiro, Cursor, or Windsurf handle all 23 registration fields and brand asset setup for an RCS agent. Clone, type 'go,' done.

Skip token limits and cloud billing. Here is the exact Docker Compose setup to run n8n on your own Linux server, from install to first workflow.

Step-by-step guide to running Meta's Muse Glimmer 30B locally with DFlash speculative decoding and Pi coding agent. Hits 127 tokens/sec on longer tasks.

Matt Blumberg and non-engineer Andrew Winston break down the two-part setup that makes vibe coding work: a Claude Project for thinking and Claude Code for building.

AI marketing automation combines rules-based workflows with machine learning that decides timing, targeting, and copy. Here is how it works and the order to build it without wasting months.