Summary

Joe Reis argues that we are entering a 'post-literate engineering' era, drawing on Marshall McLuhan's media theory to explain how AI tools have decoupled the ability to produce technical artifacts from the ability to understand them. While AI enables engineers to generate code, schemas, and architecture at near-zero cost, evaluating and comprehending that output has become the new scarce bottleneck. The deepest risk is not that engineers use AI, but that they ship systems they cannot read, explain, or take responsibility for.

Key Insight

AI tools have created a dangerous divergence between an engineer's ability to produce technical artifacts and their ability to understand them, making judgment and accountability the scarcest and most critical engineering skills of the coming decade.

Spicy Quotes (click to share)

• 9

  The post-literate engineer is someone who ships systems they can't read, explain, challenge, or own.

• 6

  Producing almost any technical artifact like code, a data model, etc now costs almost nothing. Maybe a few minutes and some tokens. Evaluating and understanding the output is the new bottleneck.

• 8

  AI lets you build bigger systems faster. It also lets you be confidently wrong at a much bigger scale and blast radius.

• 7

  Engineering is going post-literate, but can't go post-responsibility/accountability. That might be the defining problem of software and data engineering for the next ten years.

• 9

  We have a mass Dunning-Kruger delusion of productivity, at the expense of understanding what the hell we're doing.

Tone

reflective and cautionary