🔗 GitHub's recent crisis has a simple fix

GitHub is facing a critical situation, but the mainstream narrative about infrastructure scaling misses the core issue: the impact of agentic AI. The platform struggles under the sheer volume of automated API calls, creating an overwhelming amount of low-value noise. This influx has led to what is termed the "AI slop" problem, where the quality of code is compromised due to unreviewed, AI-generated content.

The article suggests a technical solution: implementing intelligent backoff queues to enforce delays on API calls, encouraging developers to engage more actively in the coding process. By slowing down the generation of code, GitHub could become the “Great Filter,” prompting users to think critically about their contributions. The push is for a cultural shift back to maintaining quality over quantity in software development, reinforcing GitHub’s purpose as a repository for valuable human knowledge in the age of AI.