『Debug Log』のカバーアート

Debug Log

Debug Log

著者： tell-tale
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

 Software engineering war stories, architecture decisions, and lessons learned.
エピソード
  • The Blast Radius of Agentic AI: Why "Five Nines" is a Relic

    The Blast Radius of Agentic AI: Why "Five Nines" is a Relic
    2026/05/01
    This episode explores why the traditional "five nines" reliability metric is fundamentally unsuitable for agentic AI systems. It explains that unlike traditional systems, agentic AI can be "up" but still cause catastrophic failures through incorrect autonomous actions, leading to a significantly wider "blast radius" of damage. Listeners will learn about the unique failure modes of these self-directed systems and the critical need to shift focus from mere availability to ensuring correctness and integrity.
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    11 分
  • Phantom in the Page Cache: Unpacking the 10-Line "Copy Fail" Exploit

    Phantom in the Page Cache: Unpacking the 10-Line "Copy Fail" Exploit
    2026/05/01
    This episode discusses a 9-year-old, 10-line "Copy Fail" exploit found in the Linux kernel's page cache, highlighting the paradox of such a critical yet subtle vulnerability evading detection for so long. It explores the nature of this "phantom" bug, explaining how its "surgical precision" and exploitation of concurrency in the page cache make it incredibly difficult to detect, even in highly scrutinized software. Listeners will learn about the profound implications of small flaws in critical system components and the challenges of securing complex, concurrent operating systems.
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    13 分
  • Automating the Autopsy: The Promise and Peril of AI-Generated Postmortems

    Automating the Autopsy: The Promise and Peril of AI-Generated Postmortems
    2026/05/01
    This episode explores the intriguing concept of using AI to write incident postmortems, highlighting its potential for speed, consistency, and automating data synthesis from vast sources. However, it also delves into the significant perils, such as the impact of poor data quality, the risk of AI hallucinations, and AI's inability to grasp the nuanced human "why" behind incidents. Listeners will learn about the dichotomy between AI's data processing power and the essential human element in understanding complex system failures.
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    13 分
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