As we move further into 2025, the landscape of artificial intelligence is evolving rapidly. The spotlight is now on reasoning models, which pave the way for autonomous AI agents capable of executing tasks independently. Major players like IBM are integrating Generative AI into their systems, with products like watsonx and Granite offering powerful capabilities in text understanding and code generation. IBM is also developing RPG Code Assist, a tool for RPG programming that may soon be available. Other companies, such as ARCAD Software and Fresche Solutions, are embracing AI to enhance software development and leverage historical IBM i data. The future points toward a world where AI not only assists but autonomously handles much of the coding process, transforming how software is created and managed.
The Rise of Reasoning Models: Is IBM i Prepared for the Future of AI?
March 24, 2025
By Alex Woodie
In just a few years, the landscape of artificial intelligence has changed dramatically. As we step into 2025, the focus is shifting from large language models (LLMs) to reasoning models, which pave the way for autonomous AI agents. This new development raises an important question: Is IBM i ready for this revolutionary shift?
The advent of tools like OpenAI’s ChatGPT and Google’s Gemini has propelled the popularity of LLMs, which have transformed text-based applications. These technologies enhance search engines and power chatbots, making them invaluable in today’s digital landscape. IBM is aligning itself with this trend through its watsonx platform and the Granite line of open-source models aimed at improving text understanding, code generation, and more.
A great example in this evolution is IBM’s RPG Code Assist, currently in development. This tool aims to assist programmers by explaining and generating RPG code, with a beta release expected by mid-2025. As the hairpin turn to reasoning models begins, IBM i developers must keep pace with these advancements, which are reshaping how coding and application development happen.
The IBM i community is not alone in this transition. Companies like ARCAD Software have introduced AI capabilities in their products, allowing users to engage with applications without needing deep programming knowledge. Meanwhile, Fresche Solutions launched AI-Celerate, a program designed to help organizations harness their existing IBM i data for tailored AI strategies.
What matters now is understanding the upcoming role of agentic AI, which goes beyond chatbots to independently perform tasks based on generated queries. According to Deloitte, nearly half of businesses using AI will pilot such systems by 2027. As reasoning models become more efficient and cost-effective to train, the potential for widespread adoption grows.
In this evolving frontier, IBM i shops must prepare. The integration of reasoning models and agentic AI could fundamentally change how software is built and maintained—perhaps even rendering traditional coding roles obsolete. For our tech community, the challenge is to adapt and ready ourselves for this transformative era.
Are you prepared to embrace the future of AI?
Related Stories:
– ARCAD Discover: AI Analysis for Global Applications
– Update on RPG Coding Assistant Launch Timeline
– Insights into IBM’s GenAI Strategy for IBM i
What is Agentic AI?
Agentic AI refers to advanced artificial intelligence systems that can make decisions, learn, and act autonomously. These systems have the ability to adapt to new information and situations without needing constant human guidance.
Is IBM i compatible with Agentic AI?
Yes, IBM i is compatible with Agentic AI. IBM i supports various programming languages and tools that can integrate AI capabilities, allowing businesses to implement intelligent solutions easily.
What benefits does IBM i offer for AI initiatives?
IBM i provides a stable, secure platform that is reliable for running mission-critical applications. It has robust data handling capabilities, making it easier to manage and analyze large data sets which are essential for AI projects.
Can small businesses use IBM i for AI?
Absolutely! IBM i is suitable for small businesses as it offers a cost-effective way to leverage AI technology without needing a large infrastructure. Plus, its user-friendly interface makes it easy to use for companies of all sizes.
What should companies do to prepare for Agentic AI?
Companies should start by assessing their current technology and data management systems. Investing in training for staff and ensuring data quality are also important steps for successfully adopting Agentic AI on IBM i.