Generative AI tools are evolving from monolithic architectures to focus on bounded components, operating more effectively within defined, reusable units in software development.
Generative AI excels in enhancing or modifying well-characterized code components rather than attempting to create entire codebases, ensuring precision and maintainability.
Components serve as self-contained, reusable software units characterized by their isolation and defined interfaces, which enhance collaboration and scalability in modern software development.
The rise of composability in software allows generative AI to thrive by working in the bounded contexts of distinct components instead of attempting to handle sprawling codebases.
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