Enews5-2 AI and the future of software development by Sanjay Gidwani August 13, 2023 written by Sanjay Gidwani August 13, 2023 231 Artificial intelligence will dramatically increase the pace of software development and make continuous delivery routine. Processes and roles will need to evolve, especially testing.Artificial intelligence is changing software development in ways large and small. While many companies race to roll out AI-enabled features, the potential for AI goes beyond the feature level. Rather, AI will become the foundation for most—if not all—SaaS solutions. Machine learning and AI models will allow SaaS technologies to continually drive new efficiencies across a variety of business processes. AI should be seen as the foundation for a new way of develop Software delivery will become a utility. The grunt work that exacted a high tax for incremental value will just happen, and the backlog of high-value additions and innovation will surge into production. Humans will not get replaced. Rather, you will see the greater potential of software developers unleashed. [ Coding with AI: Tips and best practices from developers ]From design to platform thinkingWith AI at the core of platform (and SaaS) development, you’ll start to see “design thinking” evolve into “platform thinking.” Exploration and learning will be essential in a world of AI-powered technology. Rather than outcome-oriented, software design will become goal-oriented. Using AI, development teams will be able to:Rapidly build and deploy functional proofs of concept (POCs), not just design prototypes.Run A/B tests and multivariate tests with real end users.Identify and deploy fully tested applications based on real-time user evidence.Because AI enables professionals of all skill sets to design, deliver, and improve both processes and technology, platform thinking will become ingrained across entire businesses. The end result will be empowering every employee in the enterprise to bring ideas to reality very rapidly.As AI becomes an essential part of software development (and ultimately business processes), team structure and skill sets will need to evolve. The AI engine, which will appear in many forms (platform suggestions, companion bots, analytics and reporting), will become an active part of the software delivery team. How AI will affect software development rolesCompanies will need to consider the role AI will play in platform engineering and be one step ahead. As this new way of development emerges, so will new job opportunities.The role of the business analyst will be elevated to drive business strategy. In all likelihood, AI will write individual user stories, requirements, and acceptance criteria. Rather than capturing criteria, business analysts will assess AI-generated ideas and drive business alignment to platform thinking. AI and technology will be a driving factor in business strategy, and business analysts will be the face of this arm of the strategy.Interaction design roles will outpace UI design roles. As visual AI rapidly evolves, demand for UI design to individually lay out pages and business process flows will decrease. Interaction designers will guide AI to design UI and UX through JavaScript design systems, graphical guidelines, and continuous user testing.Test architecture will emerge as a highly-paid, in-demand role. With autonomously built software, continuous testing will be critical. As the delivery lifecycle condenses, more testing will be needed than ever before. Automating user tests based on acceptance criteria will not be enough. Test architects will design, deploy, and maintain complex test architectures, end-to-end test new functionality, continually conduct exploratory testing, and execute ever-evolving regression suites. [ Keep up with the latest developments in software development. Subscribe to the InfoWorld First Look newsletter ] Read More A/B testingAIAI-powered technologyAnalyticsArtificial Intelligencebest practicesbusiness processescompanion botsConnect ConvergeConnect HPE User CommunityConnect WorldwideConnectConvergecontinuous deliverydelivery lifecycleexploratory testingfunctional proofs of conceptGidwanigoal-orientedJavaScriptMachine Learningmultivariate testsoutcome-orientedPOCregression suitesSaaSSaaS solutionsSanjay Gidwanisoftware developmenttest architectureUIUI designUX 0 comment 0 FacebookTwitterPinterestEmail Sanjay Gidwani previous post You can’t run away from technical debt next post Hewlett Packard Enterprise announces CFO transition plan You may also like Modern file storage accelerates the AI-driven search for... August 31, 2023 HPE’s Q3 earnings call is scheduled for August... August 13, 2023 Devs don’t want to do ops August 13, 2023 Hewlett Packard Enterprise announces CFO transition plan August 13, 2023