12/19/2025AI Engineering

Lessons from Launching Three SAS Projects

Lessons from Launching Three SAS Projects

As a self-proclaimed “vibe coder” with no prior development experience, the journey to launching three successful SAS projects is a testament to the power of artificial intelligence and dedication. With the help of AI tools like Convex and Claude Code, it’s possible to build and launch complex projects in a matter of weeks, rather than months or years. However, this journey has also taught valuable lessons about the importance of stack selection, continuous integration and deployment, and the need to understand what you’re building. In this article, we’ll delve into the key takeaways from this experience and explore how you can apply them to your own projects.

🚀 Executive Summary:

    • Key Point 1: The right stack can make or break your project, with tools like Convex and Claude Code enabling rapid development and deployment.
    • Key Point 2: Continuous integration and deployment (CI/CD) pipelines are crucial for ensuring seamless updates and bug fixes, with Convex offering a hosted backend for easy deployment.
    • Key Point 3: Understanding what you’re building is essential for success, and AI can be a powerful tool for gaining this understanding and making informed decisions.

Introduction to AI-Driven Development

With the rise of AI-driven development tools, it’s now possible for non-developers to build and launch complex projects. Tools like Convex and Claude Code provide a range of features and functionalities that enable rapid development and deployment. However, as with any technology, there are also potential pitfalls and challenges to be aware of. To learn more about the basics of AI-driven development, check out our article on unlocking the secrets of AI-driven applications.

Stack Selection and CI/CD Pipelines

The choice of stack can have a significant impact on the success of your project. With the right tools and technologies, you can build and deploy quickly and efficiently. Convex, for example, offers a hosted backend and a range of features that enable easy deployment and updates. To learn more about CI/CD pipelines and how to implement them effectively, check out our article on revolutionizing AI with autonomous execution and business opportunities.

Understanding What You’re Building

One of the most important lessons from this experience is the need to understand what you’re building. With AI-driven development, it’s easy to get caught up in the excitement of building something new and forget to take a step back and understand the bigger picture. However, this can lead to problems down the line, from bug fixes to scalability issues. To avoid these pitfalls, it’s essential to take the time to understand what you’re building and how it works. Check out our article on unlocking the secrets of sim-to-real for more insights into the importance of understanding your project.

Testing and Iteration

Testing and iteration are crucial components of any development process. With AI-driven development, it’s essential to test and iterate quickly and efficiently to ensure that your project is working as intended. Check out our article on revolutionizing AI with reinforcement learning for more insights into the importance of testing and iteration in AI-driven development.

💡 Pro-Tip: When working with AI-driven development tools, it’s essential to console log all AI responses and inputs to ensure that the AI is getting what it needs. This can help you identify potential issues and debug your project more efficiently.

Conclusion

In conclusion, launching three SAS projects with AI has been a valuable learning experience that has taught us the importance of stack selection, continuous integration and deployment, and understanding what you’re building. By applying these lessons to your own projects, you can build and launch complex applications quickly and efficiently. Check out our article on unlocking the true potential of AI for more insights into the future of AI-driven development.

Key Takeaways

    • The right stack can make or break your project, with tools like Convex and Claude Code enabling rapid development and deployment.
    • Continuous integration and deployment (CI/CD) pipelines are crucial for ensuring seamless updates and bug fixes.
    • Understanding what you’re building is essential for success, and AI can be a powerful tool for gaining this understanding and making informed decisions.