Many modern applications are built using pre-existing frameworks, libraries, and APIs, meaning that companies need fewer programmers to write code from scratch. Instead, they need developers who can integrate and customize these components efficiently.
People expect just to take a course or watch programming videos and learn automatically. Without motivation and context, this passive learning style is the main reason many people quit early. Most people learn programming because of the great salaries. However, to master it, you need interest, passion, and a context.
Some 76% of employers reported hiring the same number or fewer entry-level employees in 2025 than in 2024, according to the Cengage report. Their reasonings for less robust hiring were due to a tightening labor market, the rise of AI and broader economic pressures like inflation and new tariff policies.
I don't believe AI will replace programmers, but it could be tool that if used wisely can improve productivity, help students learn to program, to develop more sophisticated computer applications.
The software development profession will continue evolving. Developers must embrace continuous learning — not only in new programming languages and frameworks but also in understanding AI capabilities, ethics, and collaboration techniques.
Musk started with a book on the BASIC programming language, a popular language in the 1960s, which many computers still used in the 1980s. The book offered a six-month program to learn to code, but Musk raced through the entire program in three days. It wasn't long before Musk programmed his first video game.
However, rather than replacing software engineers, AI is set to enhance their capabilities. AI-powered tools will automate repetitive tasks, enabling developers to focus on more complex, creative aspects of software design.
Which Jobs Are Safest from AI and Automation?
The 80/20 Rule and Software Development
80% of the effort produce 20% of the results. 80% of the customers produce 20% of the revenue. 80% of a web application's features produce 20% of the application's usage (meaning 80% of users only care about 20% of an application's features)
Amazon's AWS CEO revealed that AI now pushes 75% of their production code. 😒😒 That's not just automation, that's transformation. When one of the world's biggest cloud providers entrusts most of its deployment pipeline to AI, it signals a massive shift in how we'll build, test, and scale software in the coming years.
Whilst boomers and millennials may use the 😂 emoji, this has long since been deemed 'uncool' (or 'cheugy') by Gen Z. Instead, this has been replaced by the skull (💀) or the crying emoji (😭), dramatising the idea of 'dying with laughter'.
Key findings:
This is where the 70% rule comes in—a powerful job-search strategy that encourages you to apply for roles where you meet at least 70% of the listed criteria. Here's why it works: Your Skills Are More Transferable Than You Think.
Not really. I would guess that average programmer has an IQ barely above average— e.g., perhaps ~105. But they are likely to be also somewhat above average in their ability to think logically.
If you're just choosing which to learn, it is recommended that you start with Python before trying your hand at using C++, as it's a much more beginner-friendly language that you can easily build on over time.
Despite such concerns, Democratic presidential candidate Joe Biden endorsed learning to code as a way forward for miners and other blue-collar workers during a campaign speech at Derry, New Hampshire on December 30, 2019: "Anybody who can go down 300 to 3,000 feet in a mine, sure in hell can learn to program as well, ...
Here are the seven essential steps of coding to guide you through your projects.
More generally, the Pareto Principle is the observation (not law) that most things in life are not distributed evenly. It can mean all of the following things: 20% of the input creates 80% of the result. 20% of the workers produce 80% of the result.
OOP allows objects to interact with each other using four basic principles: encapsulation, inheritance, polymorphism, and abstraction. These four OOP principles enable objects to communicate and collaborate to create powerful applications.
The posting is for a product manager that would help Netflix develop and steer its machine-learning projects and strategy. To be clear, the job is real. The $900,000 is a bit misleading. "But Tom, the job posting literally says $900,000!"
Companies in many sectors of the economy will need to help their employees make the transition to an AI-centric workplace so that no one gets left behind. And customers should always know when they're interacting with an AI and not a human. Finally, I encourage everyone to follow developments in AI as much as possible.
15 Jobs AI Will Likely Replace by 2030
Pick up coding skills: the future's most valuable asset
Rather than replacing human expertise, Cursor gives developers superpowers—handling the generation of large chunks of code so developers can focus on software architecture and solving business problems.
The Human-Centered Fields Automation Can't Touch
There are entire fields where jobs that ai can never replace continue to grow. Take educators, coaches and trainers. These roles require intuition and connection. They ask for cultural understanding and genuine empathy, the kind that develops through lived experience.