Paige Linton is a freelance writer. She is interested in culture, creativity and practical ways to stay organized. She likes to create explanations about complex things and issues and share them with readers. In this, her first posting on the 21st Century Tech Blog, Paige has chosen to talk about writing computer code.
When I was in my last two years of university, pursuing a degree in history, I had my first experience creating a program. The technology required me to create a punch card deck, which I then fed to an IBM mainframe in the Physics Building at the University of Toronto. It took a few debugging efforts before the program ran and produced a printout with data I used for an essay on the distribution and types of coins found in caches around the Mediterranean Sea during the Roman Empire (300 to 450 CE). I was studying the fluidity of commercial interrelationships and frontiers to support an undergraduate essay project.
My experiences in business since then have been less about programming and more focused on documenting outcomes. One thing for sure: the world of coding has gone through rapid evolution from my first days exposed to Fortran and Cobol to today’s programming languages. Now, with artificial intelligence increasingly replacing human coders, the industry is undergoing a rapid disruptive change.
I leave the subject of coding’s history to Paige and welcome your comments.
Coding Is Evolving
Writing software isn’t the same as it was fifty years ago. What started as a discipline requiring technical and mathematical skills, done by specialists trained in esoteric programming languages hunching for hours in front of terminals, often in near-total isolation, has turned into a high-stakes industry.
How did we get from punch card decks to coding in the cloud? The industry has dynamically been reinvented with artificial intelligence (AI) as the latest disruptor. This is impacting the skill sets needed by programmers and how they work and collaborate, and how the companies they work for start up and operate.
The Early Days of Manual Programming
Go back to the mid-twentieth century. Computers filled entire rooms. Running them required whole teams of specialists, and those specialists interacted directly in machine language and assembly code, translating complex mathematical problems into step-by-step instructions a computer could digest. It was painstaking work. Hours could be spent writing and debugging code. Computing was expensive. Only major institutions, such as government agencies, universities, and large corporations, could afford the hardware or justify the labour.
Women shaped that era more than most history books admit. Grace Hopper, for example, built the first compiler, a development that allowed programmers to express logic without wrestling with raw machine code byte by byte. Hardware engineers and software developers were practically the same person. The two disciplines were not separate. There were no standardized practices, no shared platforms, and no reliable methods for handing projects from one team to another.
The Rise of Personal Computers and Standardization
The late 1970s and 1980s changed everything. Ordinary people could suddenly own a personal computer, experiment with it, and learn to write software.
No mainframe bookings.
No institutional gatekeepers.
The programming language BASIC appeared first, followed by C and eventually C++. These languages spread quickly because they could run across different hardware platforms while giving developers better tools for managing increasingly complex programs. Software stopped being a byproduct of hardware and became an industry in its own right. Companies began creating enormous value through code alone.
Standardization followed naturally. As more people entered the field, demand increased for software that worked consistently across multiple computer systems. Licensing emerged as a major consideration, bringing new business models, intellectual property protections, and software ownership rules.
At the same time, open-source development started taking root with Programmers sharing code freely, establishing communities around projects, and collaborating across long distances.
Proprietary and open-source software projects flourished. This ongoing balance between commercial and community-driven development has remained a defining feature of the industry to this day.
The Internet Era and Distributed Development
The arrival of the Internet accelerated software development. Through the 1990s and into the 2000s, coding stopped being a solitary profession and became a global collaborative effort. Coding for the web surged. Programmers needed to understand browsers, servers, databases, and networking.
Distributed version control systems such as Git helped teams track changes to collaborative source code development. Large groups now could contribute to the same codebase without constantly overwriting one another’s work. Real coordination at scale became possible.
Languages such as Java, Python, and JavaScript emerged to solve problems earlier tools struggled to address. Each of these attracted thriving communities that shared resources, libraries, and best practices.
Cloud computing eventually removed much of the burden of maintaining physical hardware. Deploying an application became dramatically faster and more affordable. What once required weeks of preparation could often be accomplished in a matter of hours. Remote work also became more practical because developers could access the same tools, systems, and repositories regardless of location. The age of the digital nomad was born, coders capable of working from anywhere where they had high-speed Internet connectivity.
Modern Software Development and Specialization
Today’s software industry is highly specialized. Front-end developers focus on the user experience and interface design. Back-end developers build the systems that process data and support business operations behind the scenes. Data scientists occupy an entirely separate niche that blends programming, statistics, and domain expertise. DevOps engineers manage deployment pipelines and infrastructure, ensuring that applications remain reliable and scalable.
Technical ability alone is no longer enough. Communication, teamwork, and project management skills have become equally important. Agile methodologies, which emphasize collaboration, flexibility, and continual feedback, have largely replaced the rigid waterfall approaches that once dominated software projects. Practices such as code reviews, automated testing, and pair programming are now common across organizations of all sizes.
Educational institutions and training programs have adapted as well. Many rely on a credible coding LMS (Learning Management System) to deliver structured coursework, assign practical projects, support large groups while monitoring individual learner progress. LMS tools help prepare future developers to fit in well with the collaborative coding environments of today.
Current and Future Directions
AI Changing the Rules
The software industry continues to experience rapid, disruptive change, with AI and a related field, machine learning (ML), becoming widely used in business. The result is organizations increasingly seeking professionals who live in both worlds, understanding traditional software engineering as well as AI development practices.
Low-Code Developers Enter the Mix
Low-code and no-code platforms are also changing how and who builds software. Individuals without formal programming backgrounds can now create functional applications through visual interfaces and simplified workflows. These tools do not replace code writers. Instead, they increase the number of those with access to software creation.
Security Issues on the Rise
Cybersecurity has become a central concern as well. Modern developers are expected to incorporate security measures throughout the development process rather than treating protection as an afterthought. At the same time, technologies such as microservices and containerization have made distributed systems more accessible while introducing additional operational complexity.
Other Disruptors
Among new technologies impacting programming are the blockchain, decentralized platforms, and advanced cloud infrastructure. These tools and platforms challenge traditional assumptions about data ownership, trust, and system architecture.
Sustainability has also become an important aspect of software development as organizations look to reduce their environmental impacts from large-scale computing operations.
