Prepare for Automation’s Impact on Application Development
Gartner predicts by 2022, at least 40% of new AD projects will have an AI-powered ‘virtual developer’ on their team
Digital transformation is making greater demands on application development (AD) teams, leading them to look for ways to improve their productivity. AI (artificial intelligence) and ML (machine learning) are two promising ways that AD teams can amplify their performance.
AI and ML, both have immense potential in the areas of quality assurance and application testing. By automating these time-consuming tasks, the AD team can focus its energies on more specialized problems requiring creativity and human intuition.
Humans to play the role of translators
For developers to spend less time coding and more time acting on insights, they need to ensure that there is no ambiguity in conveying software requirements to AI co-developers. This phase of software development, known as augmented software development, requires humans to play the role of translators.
Human developers need to convey their needs into precise tests and logic for these AI co-developers to understand and follow. This can be achieved by deploying test-driven development (TDD) and behavior-driven development (BDD) techniques.
TDD and BDD have proven to be the bedrock upon which to train AI to conduct most of the repetitive labor in the future. Additionally, the tests themselves can be automated, thus accelerating the process of ML by providing immediate feedback on the success of the AI-generated code.
The workload of AD teams is slated to increase exponentially, and businesses will struggle with new technologies and using them to gain a competitive advantage. AD teams that start working on AI training now will be better equipped for this ASD shift that is likely to show up in the next 5 years.
Is there an alternative?
For AD teams, there is always the option of hiring more employees to cope with this increased workload. However, in a market already short on skills, this will get increasingly difficult. The only alternative is to make existing developers more productive.
By preparing for augmented software development, organizations can not only keep their hiring and employee costs down but can also increase their AD output. The AD team benefits by getting more opportunities to solve complex problems rather than get bogged down by repetitive ones.
To know more about how augmented software development can assist businesses to navigate the future of AD, please join us at the Gartner Application Architecture, Development & Integration 2019, 11 – 12 March in Mumbai, India.