ai

This post explores the idea of how useful MCP and LLM technology is for the software engineer.

Discover how to turn AI from a crutch into a superpower—learning to harness it wisely, stay creative, and keep the magic of problem-solving alive in software engineering.

I built a simple Stripe-integrated timesheet app in just 4 hours using AI for boilerplate and my own creativity for polish, proving that AI is great for speed but real software quality still needs a human touch.

I learned to overcome vibe coding while solving mixed-content issues for a freelance project, using AI for guidance but ultimately teaching myself how to deploy with GitHub Actions and DigitalOcean.

I learned firsthand how AI hype can overshadow reliability when I raised concerns about unchecked hallucinations in a product, and it reminded me that true creativity and critical thinking require questioning technology and not blindly trusting it.