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Detect oversized files before merge.

See how oversized files fits local review, which evidence Code Radar produces, where coverage ends, and how trusted findings move into CI.

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radar scan . --quick

What oversized files means here.

The oversized files rule identifies review patterns that can create exploitable behavior or hide material maintenance risk, then returns the affected location, severity, confidence, and remediation context.

Rule reference

Evidence to inspect

Verify the input scope, finding detail, workflow handoff, and product boundary before you install or buy.

CriterionEvidence to inspectBoundary
Input scopeSelected files, configuration, scan mode, and enabled rules.Only included paths and configured checks are evaluated.
Finding detailFile, line, rule ID, severity, explanation, and repair direction.Illustrative output is not a result from your repository.
Workflow handoffLocal result, report format, agent context, and optional CI signal.Enable exports or CI only when the workflow needs them.
Decision fitUse the same criteria on a real repository before choosing a plan or tool.No universal winner or guaranteed outcome is claimed.
Rule reference

Check this risk locally

Verify the input scope, finding detail, workflow handoff, and product boundary before you install or buy.

Check this risk locally

The problem this page helps clarify

The useful question is where oversized files changes the review loop: what enters the scan, who acts on a finding, and which evidence moves forward. Detect large source files that concentrate unrelated behavior and review risk.

  • Audience: Developers and reviewers deciding how to handle oversized files findings before merge.
  • Focus: Detect large source files that concentrate unrelated behavior and review risk.
  • Review question: What does oversized files cover in practice?

Coverage and concrete signals

For oversized files, inspect the concrete scope below instead of relying on a category label. Record file size, concentrated responsibilities, and the smallest module boundary that would make review and testing clearer.

  • Focus: Detect large source files that concentrate unrelated behavior and review risk.
  • Workflow: Rule ID: RADAR-HEALTH-SIZE
  • Coverage and concrete signals: RADAR-HEALTH-SIZE, unsafe pattern, safer pattern, Code health
FocusExact file location, rule context, severity, confidence, and remediation guidance.Boundary
Detect large source files that concentrate unrelated behavior and review risk.Record file size, concentrated responsibilities, and the smallest module boundary that would make review and testing clearer.Generated files, schemas, and migrations may be large by design; exclude them only with an explicit ownership note and keep hand-authored logic focused.

Risky pattern / Safer pattern

oversized files: A useful result must be explainable to a developer and portable to the next review surface. Inspect the concrete evidence below before changing team policy.

Risky patternSafer pattern
src/modules/everything.ts // 2,400 linessrc/modules/orders/ // focused modules

From local signal to shared gate.

oversized files: Use the smallest workflow that proves value. Each later step should reuse evidence the team already understands. Detect large source files that concentrate unrelated behavior and review risk.

StepCommand or actionDecision
1Run a quick local scanIs the signal useful?
2Inspect and repair findingsIs the fix specific and reproducible?
3Export portable evidenceDoes the reviewer need SARIF, JSON, or HTML?
4Promote the trusted threshold to CIWhich severity should block a pull request?
radar scan . --quick
radar scan . --format sarif --fail-on high

Evidence to inspect before you trust the result.

oversized files: A useful result must be explainable to a developer and portable to the next review surface. Inspect the concrete evidence below before changing team policy. Record file size, concentrated responsibilities, and the smallest module boundary that would make review and testing clearer.

  • Rule ID: RADAR-HEALTH-SIZE
  • Exact file location, rule context, severity, confidence, and remediation guidance.
  • Terminal output, SARIF, JSON, or HTML artifacts generated from the same finding set.
  • Source stays in the workspace or CI runner where the scan executes.

Good fit and limits

Use oversized files when Developers and reviewers deciding how to handle oversized files findings before merge. Keep the boundary explicit: Generated files, schemas, and migrations may be large by design; exclude them only with an explicit ownership note and keep hand-authored logic focused.

Run the local proof before adopting a shared gate.

  • Good fit: Developers and reviewers deciding how to handle oversized files findings before merge.
  • Not a fit / do not overreach: Generated files, schemas, and migrations may be large by design; exclude them only with an explicit ownership note and keep hand-authored logic focused.

Questions to verify before rollout

These questions keep the decision tied to observable evidence rather than a broad product promise.

What does oversized files cover in practice?

oversized files: The practical scope is Detect large source files that concentrate unrelated behavior and review risk.. Start with the listed entities or files and confirm the result on representative code.

Which evidence should I inspect for oversized files?

oversized files: Inspect Record file size, concentrated responsibilities, and the smallest module boundary that would make review and testing clearer. Keep the source location, rule or comparison context, and exported artifact together.

What should I not infer from oversized files?

oversized files: Do not infer universal coverage. Generated files, schemas, and migrations may be large by design; exclude them only with an explicit ownership note and keep hand-authored logic focused. Use the relevant comparison or workflow page to test the boundary before changing policy.

What should I try first for oversized files?

oversized files: Start with a local run, review one real finding, then choose the linked report, agent, CI, or trust workflow that matches the next decision.

Feature: code health scannerChoose the next page that matches the remaining implementation or evaluation step.Benchmarks: benchmarksChoose the next page that matches the remaining implementation or evaluation step.Docs: rulesChoose the next page that matches the remaining implementation or evaluation step.
Rule reference

Start with the problem you need to solve.

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Local SASTLocal SAST for Developers and CI

Developer-first static application security testing that scans source locally, emits SARIF for GitHub code scanning, and gives coding agents deterministic fix context.

ProofSee sample report

Inspect the fields and formats in a sample finding.

InstallInstall Radar

Run a local scan on a real repository.

Validate the workflow on your own code.

Start with one local scan, inspect the evidence, and expand to reports, agents, or CI only when the signal is useful.

Check this risk locallyReview detection evidence