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中文(ZH) 🌗 當程式碼成本崩跌，工程管理該如何轉型？ ➤ 當 AI 改變了生產力，管理者的職責不再是催促產出，而是定義規格與管控風險。 ✤ https:// karimjedda.com/engineering-man agement-after-cost-of-code-collapse/ 在 AI 技術普及後，程式碼產出的邊

AI collapses code cost, shifting engineering management focus to risk and specs

By PulseAugur Editorial · [1 sources] ·

The cost of writing code has dramatically decreased due to the widespread adoption of AI technologies, forcing a reevaluation of traditional engineering management practices. Instead of focusing on output quantity or blindly adopting new tools, managers should prioritize machine-checkable correctness and precise specification definition. The core value in engineering is shifting from code writing to system design and specification, with human roles becoming critical in risk assessment and understanding business logic. AI

IMPACT Engineering management must shift focus from code output to specification and risk control as AI reduces code production costs.

RANK_REASON Article discusses the impact of AI on engineering management practices, offering an opinion on how roles should adapt.

Read on Mastodon — fosstodon.org →

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

AI collapses code cost, shifting engineering management focus to risk and specs

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Article discusses the impact of AI on engineering management practices, offering an opinion on how roles should adapt.
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 中文(ZH) · [email protected] ·

    🌗 When the Cost of Code Collapses, How Should Engineering Management Transform? ➤ When AI Changes Productivity, Managers' Responsibilities Are No Longer to Urge Output, But to Define Specifications and Control Risks. ✤ https://karimjedda.com/engineering-management-after-cost-of-code-collapse/ After the Popularization of AI Technology, the Edge of Code Production

    🌗 當程式碼成本崩跌，工程管理該如何轉型？ ➤ 當 AI 改變了生產力，管理者的職責不再是催促產出，而是定義規格與管控風險。 ✤ https:// karimjedda.com/engineering-man agement-after-cost-of-code-collapse/ 在 AI 技術普及後，程式碼產出的邊際成本大幅降低，這迫使工程管理者必須重新審視傳統的管理守則。作者指出，許多過去被視為圭臬的工程準則，其實建立在「撰寫程式碼很昂貴」的假設之上；當此基礎崩塌，管理者不應盲目追求產出數量或盲目採納新工具。相反地，應該將焦點轉移至「機器可驗證的正…

    LINKS karimjedda.com/engineering-management-aft…

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