Rank Bundle Reduction Work without Removing Required Dependencies

How to Use This Tool

Prioritize user-measured modules by removable bytes, effort and protected dependency groups. Rank front-end bundle reduction opportunities from measured bytes, effort and dependencies, preserve protected modules, and export an actionable backlog.

The work this page finishes

A list of large modules does not say which change fits the current sprint or which apparent saving would break a protected shared dependency. For Bundle Reduction Plan, the row-preserving workspace makes a correction repeatable without rebuilding a prompt or transmitting the source file.

Deterministic workflow

Compute user-estimated removable kilobytes per effort point, keep protected modules out of selection, expose dependency review and greedily fill the entered effort budget in stable score order. For Bundle Reduction Plan, this page accepts at most 5,000 records and 2 MB of text; rejected items retain their row references while valid items remain available.

Why a dedicated interface helps

Use the ranking as a measured backlog, then confirm real transfer, parse and execution changes in a representative build before deleting code. For Bundle Reduction Plan, immediate recalculation and a stable export are useful when the same rule must be applied consistently across a list instead of explained one item at a time.

Assumptions

• Sizes come from one comparable build.
• Removable percentages are explicit hypotheses.
• Effort points are internally consistent.

For Bundle Reduction Plan, retain the original source until the destination accepts the result; processing stays in this tab, although the device and installed extensions remain part of the user's security boundary.

Limitations and review boundary

It does not inspect a bundle, prove tree-shaking, model caching or execution cost, infer dependency safety or guarantee that estimated removable percentages are achievable. For Bundle Reduction Plan, no supplied URL is requested and no pasted markup or code is executed; output is inserted through text-only DOM operations.

Verification and provenance

The implementation was checked against W3C Resource Timing Level 2 on 2026-08-26, with fixtures for a known answer, an invalid input and a batch-specific edge condition. The example ranks four measured opportunities, protects core and selects the highest byte-per-effort work within eight points.