The software development market is a highly dynamic environment. We can see more and more companies investing in software to support their business processes and customer interactions, which contributes to the year-to-year growth of the software development market size.
In addition to the software market growth, we can also note the emergence of new software development trends, technologies, and practices. AI-enabled development, low-code development, and talent density maximization are just a few notable tendencies impacting how software is designed, built, tested, and deployed in modern companies. Keeping up with them is crucial for any company seeking to optimize its software delivery process and stay competitive in the rapidly evolving software development landscape.
In this article, experts highlight three essential trends you should be aware of in 2026.
AI-Enabled Development
By applying AI throughout the entire software development lifecycle, development teams can reduce manual overhead, increase software delivery speed, and ultimately, reduce development costs. 84% of respondents to the 2025 Stack Overflow Developer Survey say they use or plan to use AI tools in their development process, while 51% of respondents report using AI tools daily.
Here are the software development activities in which AI tools are already used most commonly:
- Documentation generation
Teams are using AI tools to automatically generate software architecture diagrams, API specifications, user guides, and other project-related documentation. This allows developers to not only reduce manual overhead and make documentation processes less exhausting, but also reduce manual errors in software project documentation, thus minimizing the risk of misunderstandings among project stakeholders.
- Code generation
Development teams today also extensively use AI tools to automatically generate lines of code and even larger code functions, which significantly accelerates the overall development speed. What is more, as AI tools can automatically scan both AI-generated and human-written code for vulnerabilities and provide context-aware suggestions, the use of AI can reduce the overall risk of vulnerabilities at the code level, and 63% of developers participating in the Global State of DevSecOps 2025 survey by Black Duck agree on that.
- Software testing
QA specialists also increasingly rely on AI tools to streamline various aspects of software testing, which was traditionally considered a tedious manual process. Modern dedicated AI tools can analyze project documentation, such as software specifications, to automatically generate relevant test cases, convert manual test cases into automated testing scripts, and even create testing datasets, thereby significantly reducing the time and effort involved in software quality assurance.
Low-Code Development
The growing popularity of low-code development platforms, which provide convenient drag-and-drop interfaces and pre-built components to enable building apps with a minimal amount of manual coding, is another notable trend impacting software development. According to Fortune Business Insights, the global low-code development platform market is expected to grow from $37.39 billion in 2025 to $264.40 billion by 2032.
What makes low-code development popular is that it significantly streamlines application development and deployment, reducing software time to market and cutting development costs. Low-code development also enables companies to reduce their dependence on skilled developers, as even non-IT employees can build full-scale apps via low-code tools, becoming so-called “citizen developers”, which can also contribute to development cost-efficiency. Among business executives participating in the Low-Code Perspective 2025 survey from Mendix, 48% believe their companies benefit from low-code by building applications faster, while 45% state it helps their companies reduce development costs.
Talent Density Maximization
Gartner’s experts state that maximizing talent density is another essential trend influencing the current state and the future of software engineering. In short, it means that modern companies prioritize top-performing developers (also called “A-players”) among all available talent when building and managing development teams. The growing need to attract and retain top talent efficiently prompts companies to enhance their traditional staffing processes, and implementing AI-enabled automation technology is a common way to do it.
As stated in the 2025 outlook of the tech hiring market conducted by 4 Corner Resources, “From resume screening to candidate matching, automation is becoming a core part of the recruitment tech stack.”
This means that beyond using AI-enabled recruiting tools to automatically scan job search sites for best-fit candidates, companies can utilize them in many other ways, such as to automatically generate and send personalized outreach messages to candidates to engage them efficiently, accurately score them during interviews in real-time, and even create tailored onboarding plans based on the candidate’s position, skills, and location to help new hires adjust to their roles faster.
Along with the growing AI adoption, we also see an increasing number of companies using alternative staffing strategies to leverage the required talent. Given the global shortage of skilled IT workforce, which makes sourcing top performers challenging, many companies decide to complement their in-house teams with skilled professionals from outside organizations, either by augmenting external talent into internal teams or hiring external talent as independent contractors. 65% of tech leaders who participated in the 2025 Tech and IT Job Market Outlook survey from Robert Half said they increased the use of contract talent in the second half of 2025.
Final Thoughts
The software development landscape is constantly evolving, driven by the emergence of new technologies and innovative approaches. AI-enabled development, low-code development, and talent density maximization are notable trends shaping how companies build software solutions, and understanding them is critical to remaining competitive and efficient in the current software development landscape.
An experienced software development and consulting partner can help a company navigate these and other trends and successfully capitalize on them. Such a partner can provide strategic guidance on how to implement AI, low-code, or other technologies in SDLC, provide pre-vetted developers who have the needed skill sets to augment your team, and offer comprehensive application development services to help you build high-quality business software.
