2025人工智能时代下的现代软件开发实践报告

S P O N S O RP E R S P E C T I V E In today’s fast-paced business environment, the ability of enterprises torapidly develop software applications is not just a competitive advantagebut a necessity. The pressure to deliver more software at a faster pace isat an all-time high, with significant financial and reputational risks at stakefor companies that fail to keep up. Technology innovation is supporting the demand for rapid softwaredevelopment. The promise of low-code/no-code platforms is beingrealized, allowing a new group of users across a business to create anytech solution they need—no coding skills required. Projects that once tookmonths now happen in days, fueled by solutions and apps that can bebuilt in minutes. Megan Lueders,Chief Marketing Officer,Sonatype Such speed and efficiency in software development are crucial forbusinesses to innovate, adapt, and thrive in the modern digital landscape.However, this ease and speed introduces new challenges. What wasonce a path to greater productivity has now opened the door to a newkind of operational chaos. Businesses must be capable and confident intheir ability to quickly develop and deploy high-quality custom artificialintelligence (AI)-powered solutions with advanced governance controls toensure the business isn’t slowed by security concerns. Eric Olson,Chief Marketing Officer,Quickbase In the race to innovate faster than ever before, businesses facecritical questions: Can speed and control coexist? Can effectiveand comprehensive monitoring take place across hybrid multicloudinfrastructures? Can quality be ensured given the proliferation ofapplication programming interfaces, snowballing generative AI tools, anddownward budget pressure on team sizes? Can governance be deployedat scale to ensure security standards and compliance regulations are metinclusive of the software supply chain? The answer to each of these questions is yes for those that employ anapproach detailed in this white paper researched by Harvard BusinessReview Analytic Services. Informed by software development leadersand experts from Fortune 500 companies, global consulting firms, andtechnology research institutions, this report highlights four interrelatedpillars of modern software development. Cynthia Gumbert,Chief Marketing Officer,SmartBear When properly deployed, this approach can consistently result in the rapidinnovation and delivery of high-quality, optimized, secure, and compliantsoftware. Even more encouraging is that AI-driven solutions are availableto support, manage, and ensure the success of each pillar. Together with AWS, LogicMonitor, Quickbase, SmartBear, and Sonatypehave come together to sponsor this research and white paper to equip andempower teams to navigate the changing landscape with confidence. Weencourage you to read on to understand the four interrelated pillars andthen consider how you can deploy and support them in your business. Brooke Cunningham,Chief Marketing Officer,LogicMonitor Embracing ModernSoftware DevelopmentPractices in the AI Era In an era of artificial intelligence (AI) and rapidlychanging business requirements, enterprises mustaccelerate their software delivery even while ensuringtheir development processes accommodate theinevitable need for more code, infrastructure, and testing. H I G H L I G H T S Modern software development isundergoing profound change asorganizationsadopt new practicesto provide the speed, agility, andinnovationthat is required by thechanging business world. The evolving digital landscape demands modern software developmentpractices that encompass four interrelated pillars: speed and agility, improvedvisibility through testing and observability, AI-powered automation, andembedded security and governance. The transformation requires a shiftinorganizational commitment tocontinuous learning and adaptationand a careful balance of speed andquality, innovation, and security. Done correctly, this approach can empower companies to innovate, adapt,and thrive in a time when speed is paramount. By 2028, software developmentwill have undergone a radical transformation, enabling teams to build newapplications at previously unimaginable speeds, according to ForresterResearch Inc., headquartered in Cambridge, Mass. Diego Lo Giudice, vice president and principal analyst at Forrester, explains,“Software is the expression of a business, since it provides the foundation for allof the organization’s processes, policies, and services. Creating a continuous,iterative software delivery model depends on having an infrastructure that isdesigned from soup to nuts to speed up the development process.” It’s clear that the organizations thatwill succeed are those that caneffectively leverage thesemodernsoftware engineering practicestodeliver value quickly, consistently,and securely. Incorporating generative AI (gen AI) into these processes can have a profoundeffect on IT personnel. A study by McKinsey & Co. found that 87% of devel