Agentic AI is quietly replacing developers by automating the entire software development process. Early adopters are leveraging advanced AI technologies to streamline development, testing, and deployment. This shift from traditional coding to automation promises greater efficiency, scalability, and innovation.
The evolution of AI has led to a paradigm shift in software development. Traditional AI focused on automating logic, while generative AI aimed at creating code from human language. Agentic AI takes it a step further by executing tasks independently, enabling engineers to design AI teams that collaborate to validate and refine solutions.
To pivot your team from code to automation, focus on outcomes rather than lines of code. Implement metrics that measure the number of processes automated and time saved. Encourage engineers to think about how automation can improve their work speed and scalability.
IBM’s suite of automation products is being used to transform raw data into intelligent systems, enhancing IT operations with sophisticated solutions. Agentic AI enables autonomous task execution, allowing individual AI agents to specialize in different tasks while collaborating to validate and refine solutions.
To succeed in this new landscape, developers must develop AI-ready skills and mindsets. Invest in training that focuses on AI-driven development, observability, and self-healing systems. Encourage cross-functional collaboration between IT, operations, and business teams to ensure automation aligns with strategic goals.
The transition from elegant code to elegant automation represents a significant shift in software development. It requires a new mindset and willingness to embrace AI as a collaborative tool rather than adopting it as a replacement for human expertise. Successful IT teams will harness the power of AI to create efficient, scalable, and automated solutions that drive greater impact and future-proof organizations.
Source: https://thenewstack.io/agentic-ai-is-quietly-replacing-developers