Introduction
The software development landscape is undergoing a significant transformation, driven by the increasing adoption of artificial intelligence (AI) in development processes. A recent report from OutSystems, a leading AI-powered low-code development platform, reveals that 93% of software executives plan to introduce custom AI agents within their organizations. This trend is expected to have a profound impact on software development, from the way developers work to the types of applications being built. In this article, we’ll explore the rise of custom AI agents in software development and what it means for the future of the industry.
The Growing Demand for Custom AI Agents
The report, Navigating Agentic AI & Generative AI in Software Development: Human-Agent Collaboration is Here, was created in collaboration with CIO Dive and KPMG. It highlights the growing demand for custom AI agents, which are expected to become central to an AI-first enterprise strategy. According to the report, 69% of software executives anticipate that AI will introduce new, more specialized roles within their organizations. These roles will be focused on areas such as oversight, governance, prompt engineering, agent architect, and agent orchestration.
The Benefits of Custom AI Agents
So, what are the benefits of custom AI agents in software development? For one, they enable developers to automate repetitive tasks, freeing up time to focus on more strategic and creative work. Custom AI agents can also help developers to identify and prioritize bugs more effectively, reducing the time and resources required to fix errors. Additionally, custom AI agents can assist in code generation and testing, making it easier to develop and deploy high-quality software applications.
The Impact on Workforce Roles
The adoption of custom AI agents will also have a profound impact on workforce roles within software development. According to the report, 63% of software executives believe that AI will introduce new, more specialized roles within their organizations. These roles will be focused on areas such as agent architect, agent orchestration, and prompt engineering. This shift will require software developers to upskill and reskill to work effectively with AI agents.
Conclusion
The rise of custom AI agents in software development is a major trend that is expected to continue in the coming years. As developers and organizations continue to adopt AI-powered development platforms, the role of custom AI agents will become increasingly important. By automating repetitive tasks, identifying and prioritizing bugs, and assisting in code generation and testing, custom AI agents will enable developers to build high-quality software applications faster and more efficiently. As organizations continue to scale AI initiatives, custom agents will become central to an AI-first enterprise strategy, impacting development processes, workforce roles, and digital business outcomes.
Originally published on https://www.crn.in/news/the-ai-agent-arms-race-latest-outsystems-ai-study-reveals-93-of-software-executives-plan-to-introduce-custom-ai-agents-within-their-organizations/
