Citizen programmers and senior developers alike will heave a sigh of relief at the following three predictions for 2025
Next up on our series of articles on 2025 predictions is low-code development and AI innovation facilitator firm OutSystems.
The firm’s regional director for Singapore, Malaysia, Brunei and the Greater China region, Leonard Tan, has collated three predictions from the organization to give readers a glimpse of what may be coming our way in this year as AI develops at breakneck speed.
The first prediction is that generative AI will transform business in the region with strategic, adaptive solutions that traditional systems cannot address, by 2026. The real breakthrough for firms such as OutSystems, however, will be the seamless integration of AI into low-code platforms. AI tools will evolve from being mere task-focused assistants into strategic, context-aware orchestrators. “These systems will not just manage tasks but will optimize workflows, forecast outcomes, and dynamically adapt to real-time user behavior. AI-enhanced low-code platforms have the potential to redefine operational excellence and generate new avenues for digital innovation within businesses.”
Second prediction: With as much as 60% of business-critical applications still running on legacy systems (which are expensive to maintain and slow to adapt), the firm predicts that AI-powered low-code platforms will change this trend in 2025. Such platforms can extend the life of legacy systems by integrating advanced AI-driven capabilities without costly infrastructure overhauls. “This approach can combine the stability of legacy systems with the agility of modern applications, empowering traditional industries such as shipping and logistics to overcome hurdles to technology adoption.”
Final prediction: Generative AI is redefining the role of developers, marking a fundamental shift in the software development landscape. The firm predicts that 80% of developers will transition from routine coding to becoming strategic AI facilitators. Rather than writing lines of code, developers will design frameworks and prompts that guide AI systems, enabling faster, more precise, and adaptive application outputs. “This evolution will halve development cycles, making applications more resilient and user-centric. To capitalize on this transformation, businesses will need to quickly upskill their teams, preparing them to lead in this new era of AI-driven application development.”
