Quantifying the Unquantifiable: Using AI to Turn Everything into a Metric
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We love metrics. But as developers, we often struggle to measure abstract concepts like code tech-debt, code review harshness, or documentation clarity. Ana Fikir: (Burada LLM'e bir metin verip "Bunu -1 (çok negatif) ile 1 (çok pozitif) arasında puanla ve sadece JSON dön" dediğin basit bir prompt senaryosundan bahset.) Tartışma Sorusu: If we can turn every qualitative data into a quantitative graph, where does human intuition fit in? Let's discuss in the comments! I have already deployed this…
1Key Takeaways
- But as developers, we often struggle to measure abstract concepts like code tech-debt, code review harshness, or documentation clarity.
- Ana Fikir: (Burada LLM'e bir metin verip "Bunu -1 (çok negatif) ile 1 (çok pozitif) arasında puanla ve sadece JSON dön" dediğin basit bir prompt senaryosundan bahset.) Tartışma Sorusu: If we can turn every qualitative data into a quantitative graph, where does human intuition fit in?
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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 but as developers, we often struggle to measure abstract concepts like code tech-debt, code review harshness, or documentation clarity.
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