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Detect dependency cycles before merge.

See how dependency cycles 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 dependency cycles means here.

The dependency cycles 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

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

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The problem this page helps clarify

The useful question is where dependency cycles changes the review loop: what enters the scan, who acts on a finding, and which evidence moves forward. Detect circular module relationships that make change impact harder to reason about.

  • Audience: Developers and reviewers deciding how to handle dependency cycles findings before merge.
  • Focus: Detect circular module relationships that make change impact harder to reason about.
  • Review question: What does dependency cycles cover in practice?

Coverage and concrete signals

For dependency cycles, inspect the concrete scope below instead of relying on a category label. List the cycle's modules and imports, identify the shared contract that can break it, and verify the dependency graph after the change.

  • Focus: Detect circular module relationships that make change impact harder to reason about.
  • Workflow: Rule ID: RADAR-HEALTH-CYCLE
  • Coverage and concrete signals: RADAR-HEALTH-CYCLE, unsafe pattern, safer pattern, Code health
FocusExact file location, rule context, severity, confidence, and remediation guidance.Boundary
Detect circular module relationships that make change impact harder to reason about.List the cycle's modules and imports, identify the shared contract that can break it, and verify the dependency graph after the change.Some cycles are intentional at framework boundaries; document the ownership and test initialization order before extracting a shared module.

Risky pattern / Safer pattern

dependency cycles: 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
auth -> billing -> authauth -> shared-contracts <- billing

From local signal to shared gate.

dependency cycles: Use the smallest workflow that proves value. Each later step should reuse evidence the team already understands. Detect circular module relationships that make change impact harder to reason about.

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.

dependency cycles: 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. List the cycle's modules and imports, identify the shared contract that can break it, and verify the dependency graph after the change.

  • Rule ID: RADAR-HEALTH-CYCLE
  • 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 dependency cycles when Developers and reviewers deciding how to handle dependency cycles findings before merge. Keep the boundary explicit: Some cycles are intentional at framework boundaries; document the ownership and test initialization order before extracting a shared module.

Run the local proof before adopting a shared gate.

  • Good fit: Developers and reviewers deciding how to handle dependency cycles findings before merge.
  • Not a fit / do not overreach: Some cycles are intentional at framework boundaries; document the ownership and test initialization order before extracting a shared module.

Questions to verify before rollout

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

What does dependency cycles cover in practice?

dependency cycles: The practical scope is Detect circular module relationships that make change impact harder to reason about.. Start with the listed entities or files and confirm the result on representative code.

Which evidence should I inspect for dependency cycles?

dependency cycles: Inspect List the cycle's modules and imports, identify the shared contract that can break it, and verify the dependency graph after the change. Keep the source location, rule or comparison context, and exported artifact together.

What should I not infer from dependency cycles?

dependency cycles: Do not infer universal coverage. Some cycles are intentional at framework boundaries; document the ownership and test initialization order before extracting a shared module. Use the relevant comparison or workflow page to test the boundary before changing policy.

What should I try first for dependency cycles?

dependency cycles: 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