Do AI Engineers Still Need to Read Code?
AI Engineer · youtube · 2026-07-09
This talk addresses a divisive question among AI engineers: with increasingly powerful models and agents, should developers still meticulously read code?
Drawing from two completely opposing presentations at AI Engineer Europe, the author introduces the Z/L Continuum—ranging from "carefully reading every line generated by the model" to "not even opening the IDE." This debate is structured into a five-tier spectrum to help teams determine their optimal positioning for various tasks.
The author also coins the term FOMAT (Fear of Missing Agent Time), describing the anxiety of missing out on opportunities to let agents work, rather than an inherent flaw in the agents themselves. Key takeaways include:
- This continuum is real and not strictly black-and-white.
- Positions should be task-dependent rather than person-dependent.
- Advancing model capabilities will continuously push workflows toward the "L" end of the spectrum.
- FOMAT is essentially a filtering and prioritization issue, not a problem with the agent itself.
Ultimately, the audience gains a unified vocabulary to discuss how much code needs to be read and how much trust should be placed in agents.
Related event: Debate: Will AI Engineers Still Need to Read Code by 2026?(3 posts)→
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