parallel-code-review

Parallel Code Review

Use Cursor’s Task tool to run four explore (read-only) subagents at once. Each subagent only reads code and produces findings for one dimension. The main agent merges results into a single prioritized review — something only a multi-agent setup does efficiently.

When to use

• Large diffs or refactors where a single pass misses categories.
• Security-sensitive changes (auth, payments, parsing untrusted input).
• Performance-sensitive paths (hot loops, N+1 queries, bundle entry points).

Workflow

1. Scope the change set

Prefer a concrete list of files for reviewers:

git diff --name-only origin/main...HEAD

Or paste the PR link and let the main agent list changed files from the branch.

2. Launch four parallel subagents

Send one message with four Task invocations, each subagent_type: "explore" and readonly: true, with prompts like:

Security

Read-only review: SECURITY

Changed files:
<list>

Focus: injection (SQL, shell, XSS), authZ/authN gaps, secrets in code, unsafe deserialization, path traversal, SSRF, IDOR, dependency CVEs mentioned in diff.

Output:
- Critical / High / Medium / Low findings
- File:line and short fix recommendation
- "No issues" if nothing material

Performance

Read-only review: PERFORMANCE

Changed files:
<list>

Focus: N+1 queries, missing indexes, accidental O(n²) loops, bundle size impact, unnecessary re-renders, sync I/O on hot paths, unbounded caches.

Output: same severity + location format as above.

Correctness

Read-only review: CORRECTNESS

Changed files:
<list>

Focus: logic bugs, off-by-one, wrong edge cases, race conditions, error handling gaps, breaking API changes, test gaps for new behavior.

Output: same format.

Readability / maintainability

Read-only review: READABILITY

Changed files:
<list>

Focus: naming, duplication, abstraction boundaries, file size, unclear control flow, missing types/docs where they would prevent bugs.

Output: same format; prefer suggestions over nitpicks.