DNS Dashboard
DreamHost DNS records manager with filtering and export. The objective was to reduce operational overhead, improve control, and speed up day-to-day workflows.
This was my first public GitHub project while learning prompt engineering and coding agents. The goal was to build a functional mini-project using the BMAD Method as a specification framework. The result is a DreamHost DNS records manager with an intuitive interface, advanced filters, and data export.
Stack: Backend with Node.js + Express.js, frontend with HTML5, CSS3, and vanilla JavaScript. Integration with the DreamHost public API for DNS management. I used axios for HTTP requests, express-rate-limit for abuse protection, and CORS for cross-origin security. The architecture follows REST patterns with solid error handling and input validation.
Full ownership of the project: specification using BMAD Method, solution architecture, backend and frontend implementation, public API integration, and public deployment. Responsible for code quality, technical documentation, and iterative improvements with user feedback.
Fully functional project published on Github. Practical gain in prompt engineering applied to software development. Demonstration of capability in specification, implementation, and deployment using modern AI techniques. Repository serves as an AI Engineering portfolio and as a reference for applying the BMAD Method in small, agile projects.
Prompt engineering is as important as software engineering. The BMAD Method accelerates specification cycles when well applied. Public APIs offer quick opportunities for MVPs. Clear documentation and rate limiting are essential for integrating with external APIs. Small projects can demonstrate technical expertise more efficiently than large projects.