The Rise of Agentic AI in Software Development

Artificial Intelligence (AI) has been making waves in the software development industry, with the rise of agentic AI systems revolutionizing the way developers work. Unlike traditional AI tools that wait for instructions, agentic AI systems operate with purpose and independence. They perceive problems, reason through solutions, take actions autonomously, and learn from outcomes — all without constant human direction.

According to industry experts, the growth of agents and agentic systems has been significant in recent years. Organizations are looking to develop products that leverage the generative and creative capabilities of AI models. This shift towards agentic AI has led to a productivity revolution in software development.

The Impact of Agentic AI on Workflows

Gartner predicts that at least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028, up from 0% in 2024. Additionally, 33% of enterprise software applications are expected to include agentic AI by 2028. This shows the increasing integration of agentic AI into the daily workflows of developers.

The Future of Agentic AI in Software Engineering

As AI continues to evolve, the future of agentic AI in software engineering looks promising. Data will become more up-to-date through rapid task execution, more complete and transparent due to the agents’ self-documentation of every decision point, and more queryable than ever due to agentic knowledge retrieval. Self-* systems will enable software systems to be developed almost fully autonomously.

How AI Can Boost Human Ingenuity in Software Development

Agency is not just mere scripted automation; it’s all about following instructions autonomously to achieve business goals, enhance productivity, and deliver business value. AI-powered developer platforms allow the creation, orchestration, and management of multi-agent systems to perform independently in a vast range of tasks.