Although it is still early to ensure how the Future of software engineeringthere are already certain strategic trends In this field that begin to place themselves as clear candidates to mold the sector from this year. How could it be otherwise, according to the Gartner consultant, Most are related to artificial intelligence.
The tools with AI, which aim to play a very prominent role already in the short term in software development, will change, as indicated from the consultant how applications will develop. But there are also other trends, which have to do with talent and with the environment, which have to take into account companies by drawing their road map and developing their budgets for the coming years, as we will see below, in the six strategic trends that companies will have to take into account in terms of software development.
1 – Native AI software engineering
Native AI software engineering is changing the software development life cycle integrating AI in all its phasesfrom the design to the deployment. These practices allow AI to manage, autonomously or semi -autonomous, a notable amount of tasks of said life cycle.
For Gartner, in 2028 90% of software engineers who work in companies will use code assistants with AI, from 14% who used them in early 2024. Of course, the role of developers will change, and will go from implementation tasks to those of orchestration.
Therefore, they will focus on problem solving and systems design. Also to ensure that the results of AI tools are of good quality. To succeed in these changes, teams must balance automation with human supervision, and have the complexity of workflows, and associated risks.
2 – Development of applications and agents based on large language models (LLM)
Large language models are transforming software engineering through applications prepared to interact intelligently and autonomously, similar to how humans do. For Gartner, in 2927 at least 55% of software engineering equipment will actively develop LLMS -based functions.
Of course, from the consultant they warn that for applications and LLM -based agents to succeed, software engineering managers need to go around their strategies. This implies investing in the acquisition of new skills, experimenting with generative results and implementing solid protections to manage risks.
3 – Platform engineering with generative
Generative platform engineering takes advantage of different approaches that already work to help developers discover, integrate and use the generative functions safely with their applications. In Gartner they say that in 2027 70ç% of companies with platform engineering equipment will include generative functions in their internal development platforms.
If those responsible for these teams make the FUNCTIONS OF IA have simple access through self -service development portalsgive priority to functions based on the needs of developers, and implement robust safety and governance practices, they will ensure that their teams develop innovative applications, and at the same time meet the company’s standards.
4 – Maximize the “talent density” in software engineering
The expression “talent density»It refers to concentration of highly qualified professionals in development teams. This concentration has become a key differentiation element for engineering organizations that achieve high performance.
When this concentration of talent is combined with adequate culture and technology strategies, equipment with a high talent density can work with a higher level of efficiency and adaptability, which leads to greater value for the customer.
But to achieve this, you have to focus on increasing talent density, something that also allows equipment to have a higher level of competitiveness. This involves going beyond traditional hiring practices and focusing on capturing talent.
In addition, those responsible for the teams should launch a culture focused on continuous learning, as well as collaboration, to attract and retain trained professionals who can not only adapt, but also evolve depending on the needs of the company.
5 – Growth of the models and the open generative eco
Open generative models are changing the IA panorama in the company, since they offer more flexibility, lower costs, and more freedom than the owners of suppliers. Unlike these, open models of generative allow companies to customize, adjust and display solutions adapted to their specific needs. Both in local and in the cloud. This change is making advanced functions more accessible and profitable for a greater number of equipment and use cases.
According to Gartner’s forecasts, in 2028, 30% of the total investment of companies in generative technologies will be used for personalized open generative models for specific use cases of the domain in which they are used.
6 – Ecological Software Engineering
Ecological software engineering is a discipline focused on the Sustainable software development that is efficient in terms of carbon emissionsand keep you in mind. This approach changes the usual one, which is to treat the environmental impact of the software as something to be done after developing it, and when used by another focused on incorporating ecological practices From the early stages of its designand do it in all phases of your life cycle, from planning to the production phase.
