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“You can view making apps as a method, or an approach, for problem-solving and creative work.”
Broadens the perspective, emphasizing the versatility of AI-assisted app creation as a tool for problem-solving, creative exploration, and building personal utilities and prototypes. Distinguishes between private/internal and public-facing apps and encourages further learning and seeking professional assistance when working towards public/commercial projects.
The final lesson of the ”Ideas to Apps" course.
Suggests various uses for the new skill. Examples include audio-visual experiments, game-related apps, educational tools, simulations, data visualizations, and tools to aggregate and process information to meet highly specialized needs stemming from the background and interests of the individual.
Frames app development as a versatile approach beyond just creating commercial products. Emphasizes the value of creating apps for personal or small group use.
Highlights how AI now enables non-technical users to create creative experiments and proprietary tools, or advanced prototypes that can be delegate to app development professionals to refine.
Differentiates between rough-around-the-edges but valuable internal tools and the significant effort required to finalize and properly distribute public-facing apps. Encourages "Digital Jerry-Rigs” — imperfect but useful tools for personal projects and interests.
Lays out next steps for continued learning: Continue to use and modify apps. Utilize online resources and AI guidance for further development. Stay updated on available tools.
Invites course participants to share their creations and provide feedback on the course, and expectations for future courses.
DEEP DIVE – Taking Your App Outside The AI Chat
44.2KB ∙ PDF file
This DEEP DIVE serves as a practical guide for transitioning AI-generated web applications from a chat assistant environment to running independently on a local machine. It outlines step-by-step instructions on obtaining complete code, saving it to local files, and executing it through a web browser. Additionally, the document highlights what functionalities remain effective locally and provides critical security advice on handling API keys to prevent unauthorized access when deploying applications online.
DownloadDEEP DIVE – Internal Tool vs. Public Product
47.3KB ∙ PDF file
This document explores the key differences between internal tools (or prototypes) and public products, particularly in the context of AI-assisted app creation. It defines internal tools as simple, functional solutions designed for personal or team use with minimal concern for polish, security, or scalability. In contrast, public products are polished, reliable, secure, and scalable applications designed for external audiences with high expectations. The document emphasizes that while AI can expedite prototype development, transitioning to a public product requires significant additional work, including rigorous testing, security measures, and legal compliance.
DownloadDEEP DIVE – Upgrading Tools – Cloud Development Platforms
56.1KB ∙ PDF file
This DEEP DIVE explores the transition from basic AI chat preview environments to more robust cloud development platforms. It discusses the limitations of prototype environments and highlights the benefits of using integrated platforms like Firebase Studio and cloud IDEs such as GitHub Codespaces. The document explains how these platforms enhance code stability, shareability, and development capabilities, while integrating AI tools for improved productivity. It also provides guidance on choosing the right platform based on project requirements and emphasizes the rapid evolution of cloud development technologies.
DownloadThank you for taking the course ❤️ Go build something and have fun!
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