Summary

Dan Luu observes that he notices hundreds to thousands of software bugs weekly while most people encounter the same bugs without registering them, a phenomenon he calls 'bug blindness.' He illustrates with examples like Kagi users defending spam-filled search results and a Blackboard employee genuinely believing their widely-despised software was beloved — showing how creators and fans alike develop systematic blind spots to quality problems. A major mechanism is the accumulation of unconscious workarounds: programmers develop habitual mitigations for bugs until the bugs become invisible, which makes dogfooding an unreliable quality signal. Luu argues that curing quality blindness is both possible and increasingly important as LLM-powered development makes it easier than ever to ship low-quality software at scale.

Key Insight

Bug blindness is not a niche programmer quirk but a widespread cognitive failure — people and teams systematically fail to perceive quality problems in software they use or build, and this blindness is becoming a more serious liability as LLMs make it trivially easy to produce large volumes of low-quality code.

Spicy Quotes (click to share)

• 7

  over time, I've realized that it's mostly that people are hitting the same bugs and don't notice.

• 3

  a large fraction of computer literacy and software literacy is developing a large library of these habits that you just do at a non-conscious level.

• 6

  the reflexive reaction of most developers seems to be 'huh? It's easy to do X, just do [complex sequence of things that no normal person would think of if they hadn't used the app many times before]'

• 5

  I've seen people and teams with a high degree of quality blindness ship things that have reduced or even no chance of success because of product quality issues.

• 5

  while it's easier than ever to churn out low quality software, it's also easier than ever to improve quality... But, to do this, you have to actually notice that this is possible, that quality can be improved.

Tone

analytical, reflective