Agentic Development: How to use AI to build software

Agentic development introduces AI agents into the software lifecycle, shifting from manual iteration to continuous, assisted delivery. This piece explains how autonomous agents support tasks such as code generation, testing, and refinement while maintaining human oversight for critical decisions. It highlights a move toward iterative collaboration between engineers and AI systems embedded in development workflows. Technology leaders should assess how this model affects governance, code quality control, and the balance between automation and human judgment.