Experts Recommend Following These 3 Software Development Trends

Software development is constantly evolving, with new technologies and methods being adopted by innovative developers and companies. The convergence of websites, apps, e-commerce platforms, IoT, cloud computing, and other technologies, means that it is no longer possible for developers to stay relevant by specializing in one programming language. Rather, companies and individuals need to incorporate new industry trends to future-proof their work.

Industry experts have identified three current IT trends worth following in software development.

AIOps and MLOps

These terms refer to the integration of artificial intelligence (AI) and machine learning (ML) into DevOps workflows, to streamline the process. GlobalData researcher, Charlotte Dunlap, highlights how these tools can offer developers the benefits of sophisticated data analytics to provide actionable insights into their workflow efficiency.

Srini Kadiyala, CTO of data governance consultancy OvalEdge, recommends the use of AI-enabled coding apps to automate certain elements of the development cycle, enhancing the speed and accuracy of the process.

Spatial Computing

Spatial computing involves the interaction of computers with the physical world, giving software applications awareness of real space and the ability to detect and react to objects. Nils Pihl, CEO of Auki Labs, an augmented reality technology company, points out that the COVID-19 pandemic of 2020-21 spurred demand for and adoption of AI, VR, AR, and IoT solutions.

Pihl highlights how tech giants such as Amazon, Google, and Apple are investing considerably in these technologies, but the industry is still in its early stages, with plenty of room for innovation

Low-Code and High-Code Skills

Onymos CEO, Shiva Nathan, notes how IT media hype alternates between low-code and high-code methods, but neither solution can do everything. Instead, a balance must be found between these approaches, as they are both needed.

Instead, analysts foresee engineering teams using combined high-code, low-code, and no-code on their projects.

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