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AI agents boost code generation but slow down review process, study finds

By PulseAugur Editorial · [1 sources] ·

A new study from Harvard University analyzed over 300 million activities from more than 700,000 employers across 700 firms. The research found that the introduction of AI agents led to a significant increase in code generation, with a 30% rise in total lines of code, a 20% increase in commits, and a 23% rise in pull requests. However, the study also observed a 49% increase in the time taken for pull request reviews, a near doubling of requests for changes, and a 35% increase in comments per pull request, with no significant change in new features or bug fixes. AI

IMPACT AI agents increase code output but may introduce inefficiencies in the review process, potentially impacting developer productivity.

RANK_REASON The cluster contains a study from a university analyzing the impact of AI agents on software development. [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 →

AI agents boost code generation but slow down review process, study finds

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The cluster contains a study from a university analyzing the impact of AI agents on software development. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    New Harvard # study looking at 300m activities from 700,000+ employers of 700+ firms over 5 years before and after introduction of # AI agents finds: - a 30% in

    New Harvard # study looking at 300m activities from 700,000+ employers of 700+ firms over 5 years before and after introduction of # AI agents finds: - a 30% increase in total lines of code generated, - 20% rise in the number of total commits - 23% increase in pull requests on av…

    LINKS arstechnica.com/…/ai-coding-agents-genera…

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