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Deutsch(DE) Wie viel schneller wird man denn durch LLMs? Über 100.000 Entwickler, NBER-Studie: 17,3x mehr Codezeilen. Und 1,3x mehr Releases. Der Effekt verdampft auf dem W

LLMs boost developer code output 17x but release impact is smaller

By PulseAugur Editorial · [1 sources] ·

A study by the National Bureau of Economic Research (NBER) analyzed over 100,000 developers and found that Large Language Models (LLMs) significantly increase code output, with developers writing 17.3 times more lines of code. However, the study also noted that the impact on actual product releases diminishes, with only a 1.3x increase. This suggests that while LLMs boost coding productivity, their effect on final delivery is less pronounced. AI

IMPACT LLMs significantly increase code generation but have a less pronounced effect on final product releases, indicating a gap between coding speed and delivery efficiency.

RANK_REASON Research paper detailing findings on LLM impact on developer productivity. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs boost developer code output 17x but release impact is smaller

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Research paper detailing findings on LLM impact on developer productivity. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Deutsch(DE) · nobsagile ·

    How much faster do LLMs make you? Over 100,000 developers, NBER study: 17.3x more lines of code. And 1.3x more releases. The effect evaporates on the W

    Wie viel schneller wird man denn durch LLMs? Über 100.000 Entwickler, NBER-Studie: 17,3x mehr Codezeilen. Und 1,3x mehr Releases. Der Effekt verdampft auf dem Weg zur Auslieferung. Wer Commits zählt, misst Fleiß. Wer Releases zählt, misst Wirkung. Was du stattdessen misst: https:…

    LINKS no-bullshit-agile.de/llm-beschleunigung-m…

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