Published: 08 August 2024
AI augmentation, now enhanced by the power of generative AI, unlocks previously untapped potential in software development. Software engineering leaders should explore these innovative vendors who are advancing architecture design, code development, code reviews and test automation.
Code-level technical debt is usually the easiest type of debt to measure and remediate. At the same time, architecture technical debt has a much higher impact on overall product quality, feature delivery lead time and other metrics.
One of the primary challenges faced by software engineers, especially those working on legacy systems like COBOL mainframes, is the lack or absence of comprehensive documentation. This gap hinders their ability to understand, maintain and enhance existing systems effectively.
As the codebase and architectural complexity grow, the processing power required to handle local builds escalates significantly. Many organizations struggle to equip their software
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