Old-school engineering lessons for AI app developers
Hi everyone, I'm Jon, an AI and technology blogger. Today, I'm here to share some "old-school engineering lessons" for AI app developers. AI is evolving at a rapid pace, but basic engineering principles are essential for turning fancy AI features into practical apps. This topic is based on an article published in InfoWorld on October 1, 2025. It turns out that a surprisingly basic approach to AI app development is key to turning AI's amazing capabilities into durable software. Let's take a closer look.
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Challenges and Traditional Solutions for AI App Development
In AI app development, apps that utilize advanced AI functions, such as generative AI (technology in which artificial intelligence automatically generates text and images), are popular, but creating stable apps using these is surprisingly difficult. According to an article in InfoWorld, as of 2025, basic engineering principles, or an "old-school" approach, are effective in overcoming the challenges posed by AI's "flashy new features." For example, if AI output is unpredictable, applying old-school testing techniques and error handling (methods for dealing with errors when they occur) can increase the reliability of the app.
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What are the specific old-school lessons?
The InfoWorld article lists the following fundamental engineering lessons for the challenges you face in developing AI apps, which remain as relevant in the age of AI as ever. For beginners, we've listed them here with brief explanations:
- The Importance of Thorough Testing: Because AI output changes slightly each time, traditional software testing (the process of checking whether a program works correctly) will need to be strengthened. InfoQ's AI/ML/Data Engineering Trends Report (published September 26, 2025) also emphasizes methods for evaluating AI systems as a trend for 2025.
- Error handling and reliability: To prevent the risk of AI giving the wrong answer, a backup mechanism should be implemented. An article on DevOps.com (June 19, 2025) states that these basic principles are attracting renewed attention as the application of generative AI expands.
- Scalability considerations: Applying old-fashioned design principles (thinking about making the system durable even as it grows) to the assumption that the app will be used on a large scale. A future prediction article by GeeksforGeeks (August 6, 2025) points out that scalability when integrating AI will be key as a software engineering trend.
- Security Basics: AI apps have a high risk of data leakage, so don't forget old-school encryption and access control.
These lessons emphasize the importance of steady engineering, rather than being distracted by the newness of AI. Looking at posts on X (formerly Twitter), many AI engineers are calling for learning the basics of system design. For example, in a post on September 10, 2025, he spoke about the importance of learning the basics, from prompt engineering (how to give instructions to AI) to API calls, in order to level up AI.
AI trends in 2025 and the role of old-school AI
As we enter 2025, trends in AI app development are rapidly evolving. TechCrunch's AI news section (updated October 3, 2025) discusses ethical issues and practical applications of AI, while a Developer Tech News article (June 13, 2025) discusses how AI will change software development. Meanwhile, old-school lessons serve as the foundation underpinning the trends. For example, InfoQ's trend report concludes that in the field of AI/ML (machine learning: technology that allows AI to learn from data), the fundamentals of data engineering will be key in 2025.
Latest Case Studies and Advice
Recent X posts also provide a realistic look at AI engineering. The August 9, 2025 post emphasizes that ML system design remains important and recommends understanding the three types of programs (data processing, model training, and inference). The September 29, 2025 post also points out the importance of learning "context engineering" (managing the context provided to AI) when coding with AI tools, and suggests that experience training traditional machine learning models is helpful.
- Trend 1: The Rise of Generative AIAccording to DevOps.com, developers are increasingly embracing generative AI, but old-school principles ensure durability.
- Trend 2: System Design Focus:X's post on February 21, 2025 advises prioritizing the fundamentals of system design over technologies such as Kubernetes (a container management tool).
- Trend 3: Book Recommendations: An article in DEV Community (May 25, 2025) introduces 10 AI/LLM (large-scale language modeling: AI like ChatGPT) engineering books that should be read in 2025, encouraging basic learning.
These trends show that behind the flashiness of AI, fundamental engineering determines the success of apps. An October 3, 2025, X post shared an InfoWorld article presenting AI as the "fundamental key" to "flashy new challenges."
Summary and Recommendations
Old-school engineering lessons still shine when it comes to developing AI apps. Mastering the basics—thorough testing, error handling, scalability—will help you maximize AI's potential. The trends for 2025 also highlight the increasing importance of the fundamentals.
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In summary, the age of AI is a good time to revisit old-fashioned engineering. Even beginners can improve their skills by starting with these principles. Enjoy the evolution of technology and learn with confidence.
Reference sources
- Old-school engineering lessons for AI app developers | InfoWorld – https://www.infoworld.com/article/4064367/old-school-engineering-lessons-for-ai-app-developers.html (October 1, 2025)
- InfoQ AI, ML and Data Engineering Trends Report – 2025 – https://www.infoq.com/articles/ai-ml-data-engineering-trends-2025/ (September 26, 2025)
- AI News & Artificial Intelligence | TechCrunch – https://techcrunch.com/category/artificial-intelligence/ (Updated October 3, 2025)
- The Future of Software Engineering: Top Trends and Predictions [2025 Updated] – GeeksforGeeks – https://www.geeksforgeeks.org/blogs/the-future-of-software-engineering/ (August 6, 2025)
- The Top 5 AI Trends for Developers – DevOps.com – https://devops.com/the-top-5-ai-trends-for-developers/ (June 19, 2025)
- AI trends shaping software development in 2025 – Developer Tech News – https://www.developer-tech.com/news/ai-trends-shaping-software-development-in-2025/ (June 13, 2025)
- 10 Must-Read AI and LLM Engineering Books for Developers in 2025 – DEV Community – https://dev.to/somadevtoo/10-must-read-ai-and-llm-engineering-books-for-developers-in-2025-129j (May 25, 2025)
- AI Trends You Must Know in 2025 – DEV Community – https://dev.to/golamkibria/ai-trends-you-must-know-in-2025-2g4p (October 3, 2025)
- Related posts from X (formerly Twitter) (references include various posts from February to October 2025)