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Large Language ModelsAI Coding AssistantsZenn AI/MLPublished: Oct 17, 2026, 10:00 JST

FA engineer runs spec, test, report writing via Claude Desktop

FA engineer runs spec, test, report writing via Claude Desktop

3 Key Points

  1. What happened

    An FA engineer described running spec drafts, test procedures, and reports through Claude Desktop, feeding rough notes to get structured drafts, questions on undecided points, and test steps.

  2. Why it matters

    Roughly half of his work hours feel like paperwork, so the productivity gain is real if the tool reduces back-and-forth and integrates specs, code, and tests in one environment.

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Context & Analysis

This is part of a series on AI coding in FA environments without terminals or Git, explaining why the author chose Claude Desktop over Claude Code. His work is dominated by documents — specs, test procedures, reports — taking nearly half his work hours, so non-coding tasks are where AI helps most.

He shares specific methods. For spec structuring, he hands AI bullet-point notes and asks for a skeleton covering input/output, state transitions, and abnormal behavior, which surfaces missed points like abnormal cases or initialization. For ambiguous specs, he asks AI to generate questions, such as timeout needs or reset conditions on recovery. Test procedures are derived from specs, and he emphasizes including a re-execution step after Execute drop, which is easily missed. Reports use a strict division: the author writes facts, AI formats, and he checks for added content, especially fabricated numbers or dates.

He also notes AI's weakness with audience targeting and the risk of formulaic writing. On information management, documents contain client names and equipment details, so he separates personal and business folders, stressing that line-drawing is more critical for documents than for code.

FAQ
What exactly does he delegate to AI?
AI is used for structuring rough notes into spec skeletons, generating questions about undecided points, deriving test procedures from specs, and formatting reports. The human writes all facts and final content.
Why does he avoid letting AI write reports from scratch?
Because AI tends to fill in plausible but nonexistent details. He writes bullet points of actual events himself, then asks AI only to polish the style, and then checks for any added content such as numbers or dates.
What is the special point about test procedures?
He includes a test step for re-execution after dropping Execute, to catch forgotten resets. The spec must state 're-executable' for AI to generate this step.

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