GuideToRide.com Vibe Coded
I code a robust marketplace with AI
As a passionate mountain biker who loves exploring new trails, I found it challenging, and initially most of my time was spent getting lost. Along the way, I realized having a local show me around makes a huge difference in the fun factor of the ride. So I created guidetoride.com to address a common pain point for riders, with the solution being to connect riders with locals, removing the friction for exploring riders associated with exploring new trails, meanwhile supporting local community riders.
I gave up along the way, the technology wasn’t there yet. Anthropics’ Claude was the game changer; working with AI felt like I was collaborating with a senior-level developer. The most remarkable aspect was that AI didn’t require small talk and was available to work 24/7, which made the development process incredibly enjoyable and efficient. Initially, I encountered some minor mistakes—like variable names being incorrect or functions not quite aligning with my intentions. However, as the technology evolved, so did my AI partner’s capabilities.
Over time, it began making thoughtful recommendations that enhanced the coding process. While Claude was busy scripting, I seized the opportunity to immerse myself in learning about new tech stacks and APIs. This knowledge allowed me to effectively direct my AI partner in the implementation of various features. I found myself not just coding, but educating myself on how to optimize the development process.
In my quest for efficiency, I automated my workflow significantly. Implementing Docker streamlined my application environments, and I adopted a meticulous Git workflow to manage my code versions effectively. Leveraging AWS services like ECR and App Runner enabled me to achieve one-click deployments, significantly cutting down the time to launch updates.
Additionally, I automated payment distribution through Stripe Connect accounts, which simplified the financial transactions related to the project. I also integrated Amazon S3 to serve the front end, ensuring fast and reliable access to static resources. To manage the connection between the backend and frontend efficiently, I utilized CloudFront, which provided low-latency delivery of my content.
This comprehensive automation of my development workflow has allowed me to focus on innovation rather than operational concerns. I no longer have to worry about scaling servers in production; the infrastructure I’ve built is robust and adaptable. The combination of an intelligent AI partner and a well-structured, automated system has transformed my approach to development, ultimately making the process smoother and significantly more productive.
