Artificial intelligence is driving a structural shift in software development, not only in how code is produced, but across the entire project management lifecycle. This article examines how traditional practices are being challenged, how new approaches are beginning to emerge and how teams such as those at Axoma are adapting their processes to operate with greater clarity, quality and efficiency in this new environment. The adoption of artificial intelligence in software dev

What’s happening in the U.S. market and what it signals for Brazil A Market in Motion and Signals That Can’t Be Ignored In recent weeks, the debate around AI’s impact on software development has moved beyond speculation and is now grounded in concrete developments across the U.S. market. The release of Anthropic’s code modernization playbook has brought visibility to the use of AI in complex systems, particularly in legacy languages such as COBOL. At the same time, tools like

The controversy that reignited the legacy debate In recent weeks, the conversation around legacy system modernization has gained renewed momentum following the release of an Anthropic eBook on the use of AI for code modernization. The material highlights the potential of Claude Code to accelerate transformation initiatives involving systems written in traditional languages such as COBOL, which are still widely used by banks, insurance companies and government institutions. Th