Nobody Measures: Coding-Agent Topology, Evidence vs. Folklore, and How to Test It Yourself
Article summary
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TL;DR Multi-agent wins because it spends more tokens — token spend alone explains 80% of the variance . It isn't collective intelligence. Read fan-out works. Write fan-out is the failure mode. Every source converges here. Same-model, same-session self-review is nearly useless. Mean blind-spot rate of 64.5% ; on code it misses 31.7% of its own semantic drift. Reviewing with clean context works. Reviewing the same diff more times does not: F1 drops. "Clean context" is not a separate session. It's…
1Key Takeaways
- TL;DR Multi-agent wins because it spends more tokens — token spend alone explains 80% of the variance .
- Same-model, same-session self-review is nearly useless.
- Mean blind-spot rate of 64.5% ; on code it misses 31.7% of its own semantic drift.
- Reviewing the same diff more times does not: F1 drops.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that tL;DR Multi-agent wins because it spends more tokens — token spend alone explains 80% of the variance .
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