Software development with AI is starting to feel like cooking steak (blog.sydorets.com)

Article summary

The article compares software development with AI to cooking a steak, highlighting that while AI can make development faster, it cannot replace human judgment and understanding. Just as a good steak requires skill and attention to detail, good software requires a deep understanding of the requirements and constraints. The article argues that relying solely on AI can lead to mediocre results, and that developers need to learn to work with AI effectively to produce high-quality software. This requires a balance between leveraging AI's capabilities and applying human expertise and judgment.

Main themes

• AI in software development
• Human judgment and expertise
• Quality vs. speed
• Business priorities
• Technical debt
• Code quality

What commenters say

• The use of AI in software development can lead to a race to the bottom in terms of quality, as companies prioritize speed and cost savings over excellence.
• Some argue that the goal of software development is not to create perfect code, but to satisfy the customer's needs, and that AI can help achieve this goal more efficiently.
• Others believe that the increasing reliance on AI will lead to a loss of skills and expertise among human developers, making it difficult to produce high-quality software.
• There is a tension between the desire for high-quality software and the pressure to deliver quickly and cheaply, with some arguing that this pressure leads to a culture of mediocrity.
• The article's use of the royal 'we' is seen as presumptuous by some, implying that the author is speaking for all software engineers rather than acknowledging individual experiences and perspectives.
• Some commenters argue that AI is not a replacement for human judgment and expertise, but rather a tool that can augment and support human developers in producing high-quality software.
• The idea that 'good enough' software is sufficient for many customers is challenged by others, who argue that this approach can lead to technical debt and long-term problems.
• The role of business priorities and management decisions in shaping the quality of software development is highlighted, with some arguing that the pursuit of profit can lead to compromises on quality and expertise.