6 posts found
A practical playbook for turning “vibe-coded” prototypes into maintainable software by tracking refactor work, codifying changes into a reusable spec, and using an agent to apply the same improvements consistently across dozens of REST endpoints.
So you've decided to try Spec-Driven Development with AI agents. You've seen the demos, read the testimonials, and you're ready to let AI accelerate your workflow. Great! But before you dive in, let me save you some frustration: there are 5 predictable ways this will go sideways, and every developer hits at least three of them.
How I went from AI skeptic to passionate advocate—and what finally changed my mind
Deep technical patterns for optimizing AI-assisted development—from attention mechanics to cost optimization, quality assurance, and robust error recovery.
An exploration of how AI accelerates software development and why human validation remains the crucial bottleneck in modern engineering.
Eight architectural patterns for AI-assisted development with the BMAD Method—practical techniques backed by research from Anthropic, OpenAI, and battle-tested experience.