Practical perspectives on AI development, SaaS displacement, and modern web architecture. No fluff, no hype cycles — just honest takes from people who ship code every day.
# The reality:
Prototype in hours
Production in weeks
Shortcuts cost months
Vibe coding is the most overhyped and simultaneously most underrated development methodology of the decade. It can turn a napkin sketch into a working prototype in an afternoon — but it can also produce brittle, insecure spaghetti that falls apart in production. Here is what it can actually do, what it cannot, and how to tell the difference.
The average SMB spends $2,400/month on SaaS subscriptions and uses about 40% of the features. We break down five commonly over-purchased tools and what a custom replacement actually costs to build and own forever.
WordPress powers 40% of the web. So why did we build this site on Astro instead? A technical comparison written for business owners who want to understand the trade-offs between speed, security, cost, and flexibility.
AI-generated code is fast, but it is not inherently secure. We share real examples of insecure patterns we have caught in AI output — from SQL injection to hardcoded secrets — and the review process that prevents them from shipping.
Azure pricing pages are designed to confuse you. We cut through the fog and show what small businesses actually pay to host applications, databases, and static sites — with real monthly bills from real projects.
Getting an AI to generate a working demo takes an afternoon. Getting that demo to production-grade takes weeks. We break down the "last 20% problem" — error handling, edge cases, security, testing, and deployment — and why skipping it is a recipe for disaster.
Deep dives into the tools, techniques, and decisions that go into building software with AI.
Vibe coding workflows, prompt engineering, Claude Code in practice, and the evolving role of the human developer.
Cost analysis of build vs. buy, migration strategies, and real-world examples of custom tools replacing subscriptions.
AI code review pitfalls, secure-by-default patterns, dependency auditing, and why fast does not mean fragile.
Framework comparisons, static vs. dynamic, SSR decisions, and why we believe in shipping HTML over JavaScript.
Azure and cloud cost management, deployment pipelines, hosting decisions, and keeping monthly bills sane.
Behind-the-scenes looks at projects we have shipped, lessons learned, and decisions we would make differently.
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