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AI 支援研究開発におけるコードレビューの役割と限界

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AI 支援研究開発におけるコードレビューの役割と限界

第8回日本メディカルAI学会学術集会での発表資料です。

https://www.jmai2026.jp/

Avatar for Atsushi Nakatsugawa

Atsushi Nakatsugawa PRO

June 05, 2026

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  1. 𝕏 @goofmint fb.me/goofmint த௡઒ ಞ࢘ CodeRabbit σϕϩούʔΞυϘέΠτ Ұൠࣾஂ ࣗݾ঺հ Ұൠࣾஂ๏ਓDevRel

    ୅දཧࣄ ϓϩάϥϚɺΤϯδχΞͱ͍͔ͯͭ͘͠ͷاۀͰಇ͖ɺ28ࡀͷͱ ͖ʹಠཱɻ2004೥ɺ·ͩ৘ใ͕গͳ͔ͬͨΦʔϓϯιʔειϑτ ͷٕज़ϒϩάʰMOONGIFTʱΛ։ઃ͠ɺຖ೔৘ใΛൃ৴͍ͯ͠ Δɻ2013೥ʹ๏ਓԽɺϏδωεͱΤϯδχΞΛ݁ͿΤόϯδΣϦ ετۀʮDevRelʯ׆ಈΛελʔτͨ͠ɻιʔγϟϧID͸͢΂ͯ goofmintɻ
  2. ੜ੒AIར༻࣌ͷηΩϡϦςΟϦεΫ 1.ֶशݩσʔλͷ໰୊
 OSSɺίϛϡχςΟͰެ։͞ΕΔίʔυ͸඼࣭͕ෆ҆ఆ 2.૊৫ͷίϯςΩετɺηΩϡϦςΟਫ४ͷෆ଍※1 3.AI͸୯७Ͱ൓෮తͳίʔυʹڧ͍൓໘ɺෳࡶͳઃ ܭɾґଘؔ܎ʹऑ͍※2 ※1 The Most Common

    Security Vulnerabilities in AI-Generated Code | Blog | Endor Labs ※2 [2508.21634] Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity
  3. ϨϏϡʔ 1.֤։ൃ޻ఔʹ͓͚ΔϨϏϡʔͷॏཁੑ͕૿Ճ
 υΩϡϝϯτ͓Αͼίʔυ 2.AIੜ੒ίʔυ૿ͰɺϨϏϡʔ͕ϘτϧωοΫ※1 3.ίʔυϨϏϡʔෛՙ૿Ͱɺੜ࢈ੑ͕19%௿Լ※2
 Copilotಋೖޙɺ։ൃऀͷϨϏϡʔ͕6.5%૿ ※1 [2605.17548] Rethinking Code

    Review in the Age of AI: A Vision for Agentic Code Review ※2 [2510.10165] AI-Assisted Programming Decreases the Productivity of Experienced Developers by Increasing the Technical Debt and Maintenance Burden
  4. AIੜ੒ίʔυͷϨϏϡʔ͕೉͍͠ཧ༝ 1.ࣗΒॻ͍ͨίʔυͰ͸ͳ͍ 2.ʮਖ਼͘͠ݟ͑Δʯίʔυ܈
 ͘͝Ұ෦ͷ໰୊͋ΔίʔυΛݟ͚ͭΔͷ͸ࠔ೉ 3.ݕূෛ࠴ʢveri fi cation debtʣ͕ཷ·Γ΍͍͢※1
 AIੜ੒ίʔυ͸৴༻͍ͯ͠ͳ͍͕ɺϨϏϡʔ͕े෼ʹ͞Ε͍ͯͳ͍ ※1

    So much for ‘trust but verify’: Nearly half of software developers don’t check AI-generated code – and 38% say it's because it takes longer than reviewing code produced by colleagues | IT Pro
  5. AIίʔυϨϏϡʔͷ࠾༻ coderabbit.ai/ja AIΞϓϦதɺ ࠷ଟΠϯετʔϧ 600ສ ϦϙδτϦ 7,500ສ ྦྷܭෆ۩߹ൃݟ਺ 1.5ສ+ ૊৫͕ར༻

    ίʔυͷֶश Λ͠ͳ͍ ఆֹ OSS͸ແྉ ֎෦৘ใΛ ར༻ SOC 2 Type II औಘ ಛ௃ CodeRabbit - AIίʔυϨϏϡʔαʔϏε