By Andy Nallappan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software
In December 2021, Broadcom Software published our blog: Forecast for 2022. We will now explore each of these predictions in greater depth with this blog series. For this blog, our topic is artificial intelligence.
The transformation of artificial intelligence (AI) is underway even faster expected, with a growing number of companies integrating AI software into their development process. As I mentioned in my previous prediction blog As of December 2021, on what to expect in 2022, AI isn’t just based in the future – it’s here.
We are already seeing a range of activities, such as AI-based services and developer tools with AI bots used in software testing. And as artificial intelligence and machine learning methods become mainstream, enterprise software developers are increasingly relying on them to create better software code. Indeed, the global AI software market is expected to to reach $62 billion this year, but these are only the first steps of a more fundamental change.
You can already find bug prediction tools such as Google’s W3C which use machine learning algorithms and deeper statistical analysis to find the bad code. Similarly, developers also have access to AI-based frameworks such as Accord.Net to integrate libraries with the C# language, including features such as self-learning algorithms, signal processing, scientific computing, and pattern recognition, among others.
Developers are also benefiting from the proliferation of AI-based programming assistants such as Kite for Python which provide help with code recommendations and debugging routines. Another example is GitHyoub Copilotan AI programmer who not only takes the guesswork out of coding, but also offers suggestions on how to generate better code.
Transform software development
And those are just the upcoming attractions for what’s on the horizon. As companies seek to improve their internal processes and foster more data-driven decision-making, AI will transform software development as we know it. Let me briefly explain how this is likely to play out.
First, AI algorithms are designed to make decisions, often using real-time data. This leads to powerful insights since, unlike humans, AI algos can instantly sift through mountains of disparate data to gain insights and then recommend or take appropriate action based on their analysis of the data.
Consider what this means for the future of project planning. The software development process can be complex and time-consuming. It must go through different stages, from ideation and product definition to strategic design, coding and testing. But we are already seeing the impact of AI, reducing the failure rates of 75% in the software production environment.
Thanks to AI, developers will be able to gather all the relevant information needed to gain a deep understanding of the project requirements more quickly.
As more and more AI-based tools become available, developers will have a way to efficiently sift through the millions of lines of undocumented code – something beyond the abilities of mere mortals by them. -same – to locate useful snippets as needed. AI assistants will help find development patterns in the code to determine where it can be reused.
This provides a watershed moment where developers will be able to make connections and find patterns and, often, predict future directions as AI systems will recommend options that might elude most humans.
All of this will translate into faster prototyping so companies can develop and deploy apps that see big improvements in the overall user experience. The result: a more streamlined workflow. This not only makes software developers and testers more productive, but it also streamlines procedures and ultimately helps produce much better code.
Some within the software community have expressed concern on their longevity in an increasingly AI-dependent world. It’s obviously impossible to predict the unknown with certainty, but while AI will inevitably force an evolution in the role of software developers, I think the worst-case scenarios are likely to be exaggerated.
First of all, we are talking about a transition that will take place over several years, even decades, so we are far from the moment when AI systems will replace coders. More immediately, AI can have a major positive impact on the way developers work. Instead of wasting their time on boring, rote tasks, developers can hand those tasks off to an artificially intelligent machine so they can tackle more complex and interesting problems.
Broadcom software and AI
Let’s not forget that software development is complex and needs a human brain to give it direction. Instead of cutting jobs, AI has the potential to result in increased demand for software developers who can work with AI to write better code.
For years, proponents touted the revolutionary impact AI would have on enterprise computing. We are rapidly approaching this tipping point.