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Developers urged to trace values across data boundaries to fix bugs

This article details common bugs that arise at the boundaries between different data storage systems and application logic, rather than within the logic itself. It uses examples like storing bytes as JSON in PostgreSQL, handling multiple data sources with conflicting keys, and misinterpreting tool states. The author emphasizes the importance of tracing values across these persistence seams and designing APIs to provide clear, user-facing error messages instead of generic server errors. AI

RANK_REASON Article discusses common software development pitfalls and best practices.

Read on dev.to — LLM tag →

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Developers urged to trace values across data boundaries to fix bugs

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Article discusses common software development pitfalls and best practices.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Debashish Ghosal ·

    The Bug Lives at the Seam, Not in the Logic

    <p>The encrypted secret was <code>bytes</code>. It round-tripped perfectly in the in-memory store. The unit tests passed. In Postgres, the column was JSON, and <code>bytes</code> is not JSON-serializable. The secret store blew up at the one boundary the in-memory test never cross…