Software development has been around ever since computers came into being. Nothing like the applications we see today, coding became a career choice for many people decades ago and it has only grown to new heights as time has passed by.
Software development as an industry has changed completely compared to how it was over 50 years ago. How? With the new technologies being introduced and countless innovations.
The tech industry has seen waves of innovation over the decades. Today, it is no different, as we all are aware of how Artificial Intelligence is bringing a huge change to the world.
The adoption of AI is not just limited to a few segments. Instead, AI is now shaping the world we are living in. Whether it’s music, business operations, or art, every industry is leveraging AI. Software development is no different. Software development tools like DevOps and GitHub have integrated AI as the world is progressing faster than ever.
In this article, we will explore how software development is changing with the use of AI Augmentation and what the future is looking like:
What is AI-Augmented Software Development?
AI has no doubt been around for a long time and has always revolved around one concept; A computer-based technology that can perform tasks involving human intelligence. Computer games being able to beat an actual person, or systems solving complex mathematical equations in a matter of seconds are common examples of how AI has changed the world.
When it comes to software development, AI is now playing a part to improve the quality, delivery, and overall experience involved in the process. This integration of AI into the overall software development ecosystem is what is now called AI-augmented software development. And it’s proving to be a way of creating software solutions in a reliable, effortless, ad seamless manner.
Why is AI-Augmented Software Development Being Adopted?
AI augmentation is allowing programmers, analysts, and administrators alike to work faster with lesser errors and improved results. With the help of sophisticated artificial intelligence and machine learning models and algorithms, machines can tap deeper into methods that humans might not be able to.
How Is AI Augmentation Impacting Software Development?
There are more than a few ways in which AI is changing how software development has been done. From automation of repetitive tasks to code reviews, here are a few ways AI has changed the game:
1. Improved Processes
Automation on DevOps and building better roadmaps are just the tip of the iceberg when it comes to pipeline improvements. Although the automation of mundane tasks is a core aspect of adopting AI-augmented software development, AI is tapping in much deeper.
AI is able to predict end-user behavior as well as make strategic decisions when it comes to the product development phase. By using data analytics, developers are now able to cater to unforeseen updates that would come after launching a product and gaining feedback from users, through previously available data around similar products. When it comes to making decisions, AI can make predictions and analyses instantly, as opposed to analysts who would take hours.
2. Better Development Approaches
Machine learning is now being used to streamline product testing. Testing bots, for instance, is becoming a core part of many development pipelines; simulating human activity, these bots can perform testing a lot faster and more in-depth. AI is also taking over repetitive development tasks such as debugging and code compilations. Normally such activities would tire a human out. But AI is now taking over these things, allowing developers to focus on more important tasks.
3. Changing the Scope of Software Development
With the emergence of AI-augmented development tools, software engineers now realize that there are certain skills that they simply won’t be able to match. However, this doesn’t mean there aren’t any aspects of software development that won’t need human intervention. Software engineers are now moving away from coding towards other roles like design, tech management, and planning.
Development teams are now getting ready for the new age of software development. Understanding the importance of learning new skills that will complement the adoption of AI augmentation is where the future lies.
The introduction of AI has not and will not make software developers obsolete. But instead, will only transcend what it means to be a software developer. At the end of the day, human consciousness is what will be able to quantify a product’s vision, and what it takes to make it popular among the masses.
