How AI will Transform Software Development - Ways to integrate AI into Software Development
We have already talked about the impact of AI (Artificial Intelligence) in Software Development in Part-1 and how AI can add benefit in Part-2. Now we'll look at the way to integrate AI into the Development process.
3 ways to integrate AI into software development
AI is becoming a more enticing and practical alternative for enterprise software development as technology advances. Here are three approaches to using AI to boost developer productivity:
1. AI in coding
AI-based routines can forecast the next action or method call within a line of code in various Integrated Development Environments (IDEs). While AI had a primitive effect on these processes in the past, it has now gotten more complex.
IDEs only recommend a method. IDEs can now type ahead, complete the method invocation and fill in all essential arguments and parameters, thanks to advances in AI in software development.
Ultimately, this feature can substantially speed up the development process while preventing syntax errors from breaking a continuous integration build.
2. AI in software generation
The next major AI trend in software development is the capacity for AI systems to look at a use case or system requirement and produce code that implements the functional condition and even constructs test cases.
Because computer-generated code still requires human monitoring and examination, it is all still experimental and academic. However, as IDEs weave AI into all parts of software development, the world will eventually see even greater advancements in computer-generated code in the future.
3. AI in specified guidance
The third AI trend in software development is augmented coding. Ultimately, it is about how AI gives tailored guidance for a developer's goals. Imagine it as something similar to Google Maps: Although one may know how to go somewhere, Google Maps can advise a route that is either faster or more suitable due to current traffic conditions.
Today, AI can assist developers in coding the next word or relevant code line. Still, the biggest efficiency gains come from anticipating entire blocks of code that can solve a functional problem.
Originally Published at Entrepreneur
Deepak Gupta