Hans Reinl ▁

I map my AI-in-production workflow to the software development lifecycle, from discovery to operations, with clear handoffs between AI agents and human owners. The core idea: agentic engineering is not a coding trick but a delivery system for reliable software.

Static training plans break when life happens. N+One is a conversational AI coach that adapts to readiness, constraints, and goals in real time to make elite coaching principles accessible to every athlete.

I want to share my workflow for moving from vibe coding to agentic engineering. I will walk you through the process of defining a feature, exploring the UI in v0, integrating the code in Cursor, reviewing and refactoring the code, and testing, merging, and shipping the feature.

With the release of Claude Opus 4.5 and the hype surrounding "engineering-grade" models, I moved beyond frontend generation to test their capabilities as full-stack engineers. I took the three current heavyweights—GPT-5.1-Codex-Max, Gemini 3 Pro, and Claude Opus 4.5—and ran them through a rigorous MVP development cycle to build 'Speakit', a text-to-speech application, to see if benchmark numbers translate to shipping products.

AI Frontend Generator tools are experiencing a significant surge in popularity and adoption across the industry, with what appears to be multiple new tools being released and announced each week. With the recent surge in attention around Claude Code and similar AI-powered development tools, now is the perfect time to examine these platforms in depth and understand how they truly compare. I have taken the time to thoroughly examine and test several of these tools, including Lovable, Replit, Vercel v0, base44, Cursor, Github Copilot, and Claude Code, using a structured approach with objective and subjective metrics to evaluate their performance, code quality, export capabilities, cost, tech stack, and developer experience.