Artificial Intelligence is the hot topic of the 21st century and it continues to amaze us as it demonstrates its impact on almost all industries. Software development is arguably one of the most impacted industries and every aspect of it is being benefited by AI and machine learning technologies. Starting from prediction of project timeline to software delivery estimation and use in bug management tools, code assistance, and testing, AI and ML help programs in various ways.
AI and ML have played a major role in the development and testing tools, especially bug management tools. But in the coming years, we’ll see more AI-powered algorithms used in cloud services and more AI tools getting packaged through subscription-based services.
AI’s Role in Software Programming
Precise Delivery Estimation
It isn’t difficult for an experienced mobile app developer to give a near-perfect estimation of a software’s delivery. However, some factors, such as excess of coding and accommodating client requests, can delay the project beyond the delivery schedule. In this respect, AI-based analytics is a very resourceful tool that helps development companies predict the precise delivery time and analyze data of a lot of similar projects.
AI can predict more precise project deadlines and timelines by using all types of project data including project timeline for similar projects, employee track record, and profiles, features, estimated timeline for each feature, etc.
AI-Based Programming Assistants
Programming assistants based on AI are rapidly gaining popularity among advanced developers. A good example is Kite which provides timely support and suggestions to Python programmers just when they are trying to understand the documentation or carrying out the debugging exercise. The tool assists developers with recommendations and relevant code examples that can be helpful for the context and purpose. Developers can also leverage these tools to reduce the unnecessary workload so that they focus more on essential aspects such as delivering better user experience.
Bug Fixing
One of the most important aspects of software development that AI has heavily influenced is bug fixing. As the data required to test increases multifold, the chances of overlooked bugs and human errors increases as well. AI-based bug management tools are a perfect solution to this problem. These tools help auto-correct the codebase without requiring manual intervention.
Sophisticated Code Compiler
A code compiler translates the code written with a high-level programming language into specific instructions or machine language for the hardware to follow. In an ideal situation, the compiler shouldn’t need the source code. With the help of AI, a task such as regenerating code for hardware can be done in just a few hours instead of months.
Conclusion
Although AI is continuing to prove its worth by making applications smarter, we still can’t entirely rely on an AI tool to be an all-round solution for all our problems. Currently, AI-based tools are helping augment our efforts to deliver and develop a better product. And while app developers will continue to stay relevant and important, what matters is how we leverage the AI-based tools.
