2025: Why JavaScript and React Aren’t the Main Game Anymore.

The software development landscape has shifted, moving beyond traditional front-end frameworks like React and JavaScript to an AI-based approach. Professionals are urged to become adept at integrating AI into their daily workflows, as those who don't may face job displacement. This mirrors historical technological shifts where previous dominant technologies, like Flash or VB6, became obsolete.

AI is poised to expose inefficiencies and the lack of real-world impact in certain academic fields and traditional job roles. A significant portion of graduates express concern about their job prospects, underscoring the diminished economic value of many university degrees that don't offer direct career paths. This trend is exacerbated by AI's ability to automate tasks previously performed by humans, particularly in entry-level positions.

The key to navigating this evolving job market lies in adaptation and embracing new technologies. Instead of focusing on past popular skills, individuals should pivot towards AI-related opportunities, whether by learning to use AI to enhance traditional coding or by developing "AI-first" applications where prompt engineering plays a significant role. Understanding the strengths and weaknesses of various AI models and integrating them effectively is crucial for success.

• The future of software development is shifting from traditional front-end technologies to AI-based development.
• Professionals must integrate AI into their workflows to remain competitive; otherwise, they risk job obsolescence.
• Many academic degrees and entry-level jobs are becoming less relevant due to AI's automation capabilities and a focus on real-world economic value.
• Opportunities exist not only in tech companies but also in non-tech industries that leverage technology and AI.
• Success in the new landscape requires studying the job market, embracing AI tools, and potentially developing "AI-first" applications with a strong emphasis on prompt engineering.

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The Shifting Landscape of Software Development [00:07]

• The opportunity in software development is evolving; it's no longer about just React, JavaScript, or front-end frameworks.
• The focus is now on AI-based development, which involves mastering the implementation of AI into everyday workflows.
• Professionals who embrace AI will thrive, while those who don't may find themselves without jobs.
• Historical examples like VB6 and Flash developers show how technologies can become obsolete, emphasizing the need to adapt.
• This transition presents an amazing opportunity, not a reason for despair.

The opportunity in software developer development is there but it's not what it used to be just 5 years ago. It's not about React. It's not about JavaScript. It's not about TypeScript. It's not about front-end framework. It's about actually AI based development.

AI Revealing Inefficiencies in Education and Jobs [02:38]

• AI will highlight that many professionals and degrees lack practical utility and real-world impact, akin to "the emperor has no clothes."
• Skills and training that were not directly productive or economically valuable are becoming obsolete.
• A study indicated that only 22% of new graduates are confident about their job prospects.
• It's suggested that 80% of university programs lack direct economic value, meaning they don't directly lead to job opportunities (e.g., anthropology, psychology).
• AI can automate "paper shuffling" tasks, revealing that these tasks themselves were often unnecessary.

AI is going to reveal that many of the um professionals out there, many of the degrees out there, uh they have no clothes.

Opportunities Beyond Tech Companies and Entry-Level Roles [04:43]

• Entry-level jobs are increasingly being filled by AI, but this opens new avenues for those who adapt.
• Companies outside of the tech sector are actively seeking AI-based solutions, indicating broad opportunities.
• A chef with no university degree became a lead developer at a large multinational company by leveraging training in technology.
• The majority of jobs utilizing programming, AI, and databases are found in non-tech companies.
• When seeking tech jobs, it's important to look beyond traditional tech giants.

In fact, the majority of jobs using technology, using programming, using AI, using databases, using WordPress are in companies that are not tech companies.

Navigating the AI World and the Importance of Adaptation [06:09]

• To navigate the AI world, study the job market and understand regional needs for different skills.
• Anything AI-related is guaranteed to open up more opportunities.
• Do not dwell on past popular technologies like React or VB6; focus on current trends like AI.
• Early adopters of new technology, particularly AI, will have significant opportunities and financial gains.
• AI is a powerful tool, not magic; building AI-first applications requires learning and effort.

Today it's AI. So I'm an old guy with barely any hair, arguably no hair, and I still pivot based on the time.

Building AI-First Applications and AI-Augmented Coding [09:09]

• Learn the fundamentals of software development, such as the web stack (HTML, CSS, JavaScript, PHP), as a foundation.
• Focus on AI development, learning how to use AI to speed up traditional coding.
• Explore building "AI-first" applications where prompt engineering constitutes 90% of the work, and traditional development tools make up the remaining 10%.
• If pursuing traditional development like React, integrate AI to enhance productivity significantly (e.g., 500% or 10x faster).
• Utilize AI-augmented coding tools and IDEs, experimenting with different AI models (e.g., GPT, Grok, Gemini) to understand their strengths and weaknesses.

Learn how to use AI to speed up traditional coding. And then I would say more interestingly, as I did, learn to build AI first applications.

The Practical Application of AI in Business and Development [11:03]

• Different AI models have unique strengths and weaknesses; a specific AI fitness coach, for example, worked on GPT but not Grok or Gemini.
• Implementing AI solutions often requires combining multiple AI models or agents, each specializing in a different task (e.g., marketing, writing, image generation).
• AI models like Gemini, Grok, and ChatGPT should be viewed as tools for developers, similar to programming languages or frameworks.
• Developers need to decide which AI models and approaches to use for specific applications.
• Companies like PayPal are heavily investing in AI-based development and processing, creating tools for developers to interface with their backend systems.

What you're going to find is that the different models, Grock, Gemini, Chachi, they each have their strengths and their weaknesses.