How AI Will Change Software Development In The Next 10 Years | Eric Evans In The Engineering RoomEp. 25
Feb 2, 2024
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Author and thought leader Eric Evans joins Dave to discuss the future of software development with AI, emphasizing domain-driven design, finance simplification, and AI's role in web development challenges. They delve into AI's potential impact on coding assistance, video editing, and AGI's implications for software professionals.
Domain Driven Design emphasizes language for software development, creating a 'ubiquitous language' for effective problem-solving.
Acceptance tests in DDD drive development by aligning system language in scenarios and code for better understanding.
Bounded contexts in DDD define clear terminology within software, enhancing communication and precision in domain models.
Deep dives
Importance of Language in Domain Driven Design
Domain Driven Design emphasizes the importance of language in software development. Unlike other design approaches focusing on abstraction, DDD places a strong emphasis on finding the right words to describe domain concepts. This emphasis on language runs through interactions with business people, domain experts, design, and coding phases. Creating a 'ubiquitous language' that succinctly expresses domain problems and solutions is a key aspect of DDD.
Use of Acceptance Tests in Domain Driven Design
DDD advocates using acceptance tests to drive the development process. By expressing examples of software functionalities using the ubiquitous language of the system, developers can create executable versions of these scenarios. Aligning the language in tests and code helps in better understanding the problem and improving the solution. Iterative refinement of both tests and solution based on the domain language leads to a more effective development process.
Significance of Bounded Contexts in Domain Driven Design
The concept of bounded contexts in DDD plays a crucial role in defining clear terminology within the software system. By establishing boundaries within which specific terms are defined, developers can create a language without ambiguity. Bounded contexts facilitate the definition of terms in a specific context, enabling a more precise and coherent understanding of the domain model. This practice encourages explicit communication of meanings, essential for effective collaboration and rigor in software development.
Emerging Use of AI in Software Development
The podcast discusses the increasing role of AI in software development and how tools like ChatGPT are being utilized for coding tasks. The conversation highlights a shift towards leveraging AI components in building applications, indicating a potential significant trend for the upcoming decade. It is acknowledged that early attempts at integrating AI may initially be clumsy, similar to past experiences with application servers, but gradual improvement is expected over time.
Impact of AI Advances on Job Market and Professional Software Developers
The podcast delves into the potential impact of AI advancements on the labor market and professional software developers. It contemplates the likelihood of job displacement and the emergence of new roles due to AI technology. The discussion raises concerns about the challenges faced by individuals transitioning to new job roles created by technological shifts. Furthermore, the conversation explores the evolving role of software developers with the introduction of AI tools and the implications on their work processes and career trajectories.
What does the future of software development look like? How will AI shape software engineer jobs? In this episode of the Engineering Room podcast, Dave is joined by author, software engineer and well-known thought leader, Eric Evans.
They talk about Eric's background, domain-driven design, artificial intelligence and what the next 10 years look like for the software industry with the emergence of AI.
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