1. Automated Code Review Process
Automated software evaluation solutions are already quite popular and widely adopted. By 2022, an increasing number of firms will be utilizing them in their coding review process. This can free up programmers to focus on new functionality rather than software testing.
2. Specialize in Cybersecurity
Businesses will have more time for frequent assessments and modernization of their networks and technological stack and improve their cybersecurity.
3. Execution of Infrastructure as Code
Easy web implementation, accountability, installation of equivalent setups, and greater productivity are advantages of IaC. All of this occurs across the software development process, leading us to believe that IaC usage will rise upcoming.
4. Rigid Software Quality Standards
In 2022, the increased demand for technology to adhere to quality levels (such as those established by ISO) will be tackled. Organizations will begin to witness the advantages of Quality assurance, such as enhanced performance, more effective operations, and enhanced credibility, as software and services become a progressively vital part of our daily existence like in most technologies we utilize.
5. The Rise of Low-code or No-code
Low-code or no-code techniques will be used in 70% of modern innovations produced by enterprises by 2025, up from only 25% in 2020.
6. The Rise of Kubernetes
Worldwide tech businesses are gradually using Kubernetes, and it’s quickly become the obvious choice for automating continuous integration.
7. Rethinking the Ethics of AI
Although AI is advancing and providing several benefits, it also confronts hurdles and concerns regarding information protection, data protection, and appropriate data use. The IT sector will develop moral guidelines, norms, and legislation to ensure that the AIs that programmers are creating behave ethically.
8. Reimagining Remote and Hybrid Work
The COVID-19 epidemic altered our perceptions of workplace space. That is the path to take in terms of time and spatial adaptability. More businesses will adopt remote or flexible work practices, allowing staff to choose the location that best satisfies them.
9. Adoption of Cloud-Native Technologies
Although AI is advancing and providing many benefits, it also faces problems and threats. We’ll have a package platform with virtualized, where applications are distributed as modules and operate inboxes. This modular method can boost effectiveness and quality, enabling businesses to respond swiftly to market developments.
10. Rethinking the ethics of AI
We are all aware of the implications of AI being used for harmful purposes. The IT sector will keep developing ethical guidelines, norms, and legislation to ensure that the AIs that programmers are creating behave ethically. It entails data protection and data privacy.
