AI handles incidents, engineers lose touch with their systems (sylvainkalache.com)

Article summary

The article discusses how AI-assisted incident response tools are becoming increasingly effective, but this may lead to engineers losing touch with their systems and struggling to resolve complex incidents. The author draws an analogy with the aviation industry, where pilots regularly practice responding to rare emergencies. The article suggests that the software industry needs incident simulators to help engineers practice and maintain their skills. As AI takes over routine incidents, engineers will need to focus on developing skills to handle rare and complex incidents.

Main themes

• AI-assisted incident response
• engineer skills and training
• aviation industry analogy
• incident simulators
• AI and human capabilities
• software engineering practices
• professionalism and culture in programming
• reliance on AI tools
• fundamental understanding and skills

What commenters say

• Some commenters argue that AI will eventually surpass human capabilities, making human practice irrelevant.
• Others believe that AI-assisted tools will augment human skills, allowing engineers to focus on more complex issues.
• There is a concern that over-reliance on AI tools will lead to a loss of fundamental understanding and skills among engineers.
• Some commenters think that the use of AI tools is similar to using third-party libraries, where engineers can still understand the overall system but may not need to know the details of every component.
• Others argue that AI tools are different from third-party libraries because their outputs can change significantly without warning, making it harder for engineers to understand and maintain the system.
• A few commenters suggest that the problem is not with AI tools themselves, but with the way they are being used and the lack of emphasis on fundamental skills and understanding among engineers.
• Some commenters believe that the industry needs to focus on developing better design and architecture practices, rather than relying on AI tools to solve problems.
• There is also a discussion about the social and cultural implications of AI on the programming profession, with some commenters arguing that programmers are being treated like regular professionals rather than special cases.