Blueprints Intermediate 2 minute read Updated 2026-06-26 UTC

Blueprint: code-review ecology

A governed coalition of static analyzers, specialized review models, test generators, and an independent acceptance gate.

Research statusEngineering blueprint Publication statePublished Reviewed byMichael Kappel Source reports2

Objective

Review code changes through multiple independent lenses—correctness, security, performance, maintainability, and contract compatibility—while preserving structured findings and preventing reviewers from modifying acceptance policy.

Components

  • deterministic linters and static analyzers;
  • language-specific review specialists;
  • security specialist;
  • performance and concurrency specialist;
  • test-generation model in a sandbox;
  • finding deduplicator and severity calibrator;
  • acceptance gate tied to repository policy;
  • persistent code beads for findings and remediation.

Review flow

pseudocode
FUNCTION review_change(change, repository_policy)
    deterministic <- RUN_STATIC_AND_TEST_SUITES(change)
    model_findings <- RUN_INDEPENDENTLY(
        specialists = SELECT_REVIEW_SPECIALISTS(change),
        input = SANITIZED_CHANGE_CONTEXT(change)
    )

    normalized <- NORMALIZE_AND_DEDUPLICATE(deterministic, model_findings)
    verified <- VERIFY_FINDINGS_WITH_TESTS_OR_EVIDENCE(normalized)
    beads <- CREATE_ACTIONABLE_BEADS(verified)

    verdict <- APPLY_REPOSITORY_ACCEPTANCE_POLICY(
        deterministic,
        verified,
        repository_policy
    )

    RETURN {verdict, beads, trace}
END FUNCTION

Breeding loop

Use confirmed missed defects, false positives, review latency, and language coverage as evidence. Train or distill narrow specialists offline. Code-breeding proposals that alter analyzers or policy follow a separate software pipeline.

Safety boundaries

Review models have read-only repository snapshots, no production credentials, no ability to merge code, and no authority to mark their own findings resolved. Generated tests run in disposable environments with network denied.

Metrics

Confirmed-defect recall, false-positive rate, severity calibration, time to verified finding, duplicated findings, test-generation validity, review cost, and developer override reasons.

Code beads

Each accepted finding becomes a structured bead with file, line, severity, evidence, dependency, acceptance criteria, and discovered-from links. This supports handoff across short-lived agent sessions without relying on conversation memory.

Source reports used for this guide

These reports are preserved verbatim in the site archive. The guide above is an editorial synthesis and may narrow, qualify, or reorganize claims from the source material.