Developer Cuts JavaScript Bundle from 2.1 MB to 890 KB Using AI-Driven Analysis

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A frontend developer reduced a bloated JavaScript bundle by 58% over four working sessions by using Claude Code as a data-driven performance tool rather than a general-purpose advisor. The dashboard app had accumulated 2.1 MB of initial JavaScript over three years, resulting in a Lighthouse performance score of 41 and an 8.4-second Time to Interactive on mid-range Android devices. An early attempt to let the AI suggest fixes without real data produced generic, inaccurate recommendations, highlighting the need for ground-truth build artifacts. The developer solved this by generating machine-readable bundle reports from source maps, then prompting the agent to analyze actual package-level byte contributions before proposing any changes. Gains were locked in using lint rules and CI budget checks to prevent performance from degrading again over time.

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Equipment Capital Index releases open dataset of 449 real financing quotes with full math

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ProgrammingDEV Community ·

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