AI
18 articles
When to use an AI Engineering Pod
Your next milestone has a release date and real dependencies. Hiring, freelancers, and vibe-coded shortcuts all look cheaper—until they don't.
AI PoC vs prototype vs MVP: Pick the evidence you need
Three artifacts, three budgets, one mistake: buying the wrong proof for the decision your board or users need to make next.
AI Engineering Pods vs Staff Augmentation
You can fill seats faster than ever. The question is whether anyone owns the release when AI multiplies output.
AI-assisted MVP development: Speed without fake proof
Founders want AI speed on the MVP. The hard part isn't building faster—it's knowing when the demo counts as evidence your runway needs.
From prototype to Product: The gap AI Doesn't solve
Prototyping got nearly free overnight. Turning that momentum into something customers pay for still demands everything AI can't shortcut.
Before you launch that vibe-coded app
You crossed from demo to real users, payments, and production—and the tool that got you here won't flag what breaks under load.
How to audit an ai-generated codebase before scaling
AI helped you ship fast. Before you invite real users, payments, or a bigger team, there is a quieter question worth asking about what sits underneath.
When should you rebuild an AI-generated MVP?
AI got your MVP on screen in days. Now paying customers are arriving, and the codebase may not survive the next stage.
AI Engineering Pods: When they make sense
Product teams need capacity yesterday. Adding engineers isn't the same as adding someone who owns the architecture, context, and release.
AI proof of Concept: When to build one
The AI idea looks obvious in the deck. The risky assumptions about data, models, and integration usually hide until someone funds the full build.
The hidden costs of vibe-coded products
The first launch feels fast and cheap. Security debt, scaling limits, and rebuilds tend to arrive after real users—and real revenue—are on the line.
WordPress 7.0: Built for humans, ready for agents
WordPress 7.0 headlines will focus on UI polish. The bigger shift is buried deeper — and it could change how humans and AI agents operate the same CMS.
Vibe coding MVP guide
AI can ship an MVP in a weekend. The Homer Simpson car problem shows up when speed outruns scope, architecture, and the next decision you need to win.
Guidelines for structuring ai-optimized software projects
Teams bolt AI onto messy repos and wonder why output quality swings. The project structure was the variable all along.
LLMs are sending us leads, and we didn't pay for ads
Qualified prospects started citing ChatGPT, not Google. We did not buy ads. We had to rethink what discoverability means now.
AEO: How LLMs find and recommend your business
Your SEO playbook may not reach ChatGPT, Gemini, or Claude. Something shifted in how businesses get discovered—and recommended.
Code is a commodity. Software engineering is not.
Everyone says AI made software cheap. Most are counting lines of code—not the judgment, risk, and systems work that actually ships products.