Artificial Intelligence and the Future of Software Development
Artificial intelligence is changing software development in every aspect. While many companies are racing to launch AI capabilities, the potential of AI extends beyond functionality and becomes the foundation of most SaaS solutions. When machine learning and artificial intelligence models are applied to SaaS technology, the efficiency of various business processes can be improved. Artificial intelligence should be seen as the basis for new ways of development.
#Software delivery will become a utility and there will be more and more heavy lifting to impose high taxes on incremental value; backlog of high value-added and innovative products Will be put into production in large quantities. Humans will not be replaced, and on the contrary, software developers will free up the workforce and unlock greater potential.
#From design to platform thinking
As artificial intelligence becomes the core of platform (and SaaS) development, "design thinking" will gradually evolve into "platform thinking." In the world of artificial intelligence technology, exploration and learning will be essential, and software design will change from "result-oriented" to "goal-oriented."
Using artificial intelligence, development teams can:
- Quickly build and Deploy functional proof-of-concepts (POCs), not just design prototypes;
- Use A/B testing and multivariate testing with real end users;
- #Identify and deploy well-tested applications based on real-time user evidence.
As AI empowers professionals across disciplines to design, deliver and improve processes and technologies, platform thinking will become ingrained throughout the enterprise. Platform thinking will ultimately enable every employee in the enterprise to put ideas into action quickly.
#As AI becomes an important part of software development (and ultimately business processes), team structures and skills need to evolve. AI engines will come in many forms (platform recommendations, companion bots, analytics and reporting) and become an active part of software delivery teams.
Artificial intelligence as an extension of software delivery
Despite the widespread adoption of agile methodologies, But few companies truly implement continuous delivery. With AI as an extension of software delivery teams, true agile methodologies will be possible - with intelligent automation enabling teams to continuously update.
#How will this intelligent automation be realized? Created and implemented dynamically as the bot builds the underlying code. In other words, full functional testing is implemented when starting to build a POC. And built-in and evolving automated testing will ensure quality and increase speed.
How will artificial intelligence affect software development engineers?
Businesses need to consider the role of artificial intelligence in platform engineering and move forward. With this new development comes new job opportunities.
- # The Business Analyst will be valued to drive business strategy. AI writes individual user stories, requirements and acceptance criteria. Business analysts need to evaluate the ideas generated by AI and drive business alignment with platform thinking rather than capturing standards. Artificial intelligence and technology will be drivers of business strategy, and business analysts will be an important role in this strategic department.
- #Interaction design will surpass UI design. With the rapid development of visual artificial intelligence, user interface design will require less and less personalized layout of pages and business processes. Interaction designers will guide AI design UI and UX through a JavaScript design system, graphical guidelines, and ongoing user testing.
- #Software architects will harness the power of artificial intelligence. Although artificial intelligence is still in its infancy in the field of software development, we have already seen the rapid development of platform engineering. At the same time, enterprises are rapidly moving away from SaaS point solutions and integrating on custom and SaaS-enabled platforms such as Salesforce, ServiceNow and Workday. Today, software architects are designing governance systems to set coding standards, development processes, and more. In the future, they will power artificial intelligence and build, execute and evolve these systems from their perspective.
- #Testing will become a high-paying, in-demand position. For self-built software, continuous testing is critical. And as delivery life cycles shorten, the future will require more testing than ever before. Merely automating tests against acceptance criteria is not enough, test architects will design, deploy and maintain complex test architectures, test new features end-to-end, continuously exploratory tests, and run evolving regression suites.
Ultimately, with artificial intelligence as the foundation of SaaS, the daily work of software developers will change dramatically. In a world of AI-driven software development, continuous testing will be the deciding factor and will determine which companies thrive in the new pace of work and which ones will fade away.
##Original title: AI and the future of software development, author: Sanjay Gidwani
Original link: https://www.php.cn/link/8bc56cf0bafb2650146f3e48cb85d257
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