We explore explore several facets of modern software development, particularly the rise of AI-powered coding tools and low-code/no-code platforms. They discuss how these innovations offer rapid development and increased productivity, with tools like GitHub Copilot and Google's Gemini CLI enabling faster code generation and task management. However, a significant theme is the concern over technical debt, as AI-generated code can lead to inconsistencies, duplication, and potential security vulnerabilities if not properly managed through human oversight and rigorous code reviews. Concurrently, the sources touch upon the aging of legacy programming languages such as Visual Basic and PowerBuilder, highlighting the ongoing need for migration and modernization in the software industry.

12 AI IDEs, 5 Policy Tests, 1 Guide for CTOs

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