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The blast radius rule for AI coding
The 'blast radius rule' serves as a guiding principle for developers using AI in coding tasks. By evaluating what could be lost if a task is incorrectly delegated to an agent, developers are encouraged to focus on tasks that can be reversed without significant consequences. The article illustrates the pitfalls of relying too heavily on AI for tasks that impact external systems, emphasizing the need for careful oversight and verification of deployed changes. This approach allows developers to minimize potential disruptions and maintain control over their projects amidst increasing automation.
ExperimentConfidence: MediumShort term horizon
Published 2 Sept 2026, 08:50 UTC5 min read
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Summary
TL;DR
- Introduces the concept of 'blast radius' in AI coding tasks
- Highlights the risks of silently failing infrastructure when using AI
- Encourages careful evaluation before delegating critical tasks to AI
- Emphasizes the need for thorough task verification and reality checks
- Discusses the importance of maintaining development oversight
Interesting facts
- Silent failures often go unnoticed until they cause significant disruptions
- The blast radius rule applies consistently across different AI models
- Reverting changes in code can be much easier than reverting infrastructure impacts