deep-review

name	deep-review
description	Sub-agent powered code reviews spanning correctness, tests, consistency, and fit
advertise	false

Deep Review Mode

Provide an excellent code review by defaulting to parallelism.

You should use sub-agents to review the change from multiple angles (correctness, tests, consistency, UX, performance, safety). Each sub-agent should have a focused mandate and return actionable findings with file paths.

Step 0: Establish the review surface

Before reviewing, gather context:

• Identify the change scope: git diff --name-only (or the file list the user provides).
• Skim the diff for intent and risk: git diff.
• Note which layers are touched:
  • UI (React/components/styles)
  • Main process / backend services
  • IPC boundary / shared types
  • Tooling/scripts
  • Docs
  • Tests

If the change is large, split review by module and prioritize high-risk paths.

Spawn the right sub-agents (change-type aware)

Spawn 2–5 sub-agents depending on scope. Tailor them to the change.

Suggested sub-agent set

• Correctness & edge cases (always)
  • Goal: find logic bugs, missing error handling, race conditions, broken invariants.
• Tests & verification (always)
  • Goal: evaluate test coverage, propose missing tests, suggest commands to validate.
• Consistency & architecture (usually)
  • Goal: ensure changes match existing patterns, abstractions, and boundaries.
• UX & accessibility (when UI changed)
  • Goal: keyboard flows, a11y, visual consistency, empty/loading/error states.
• Performance & reliability (when hot paths / streaming / IO changed)
  • Goal: latency, unnecessary work, blocking calls, memory growth, resilience.
• Docs & developer experience (when docs/scripts/public API changed)
  • Goal: clarity, correctness, navigation updates, link integrity.

Synthesize into a single excellent review

When sub-agent results arrive, produce a consolidated review with:

1. Summary (what changed + overall risk)
2. Issues
3. Questions (unknown intent; ask for clarification)
4. Suggested validation plan (commands + manual checks)

Issues should have a severity in form of:

Severity	Description	Example
P0	Change must not be merged until resolved	Change would permanently break core workflows if merged.
P1	Change should not be merged	New code will not work as expected due to severe bugs
P2	Consideration required before merging	The change creates inconsistency / fragility
P3	Minor issue	The change introduces a minor issue that may be addressed later
P4	Long-term issue	The change raises concerns about long-term maintainability or may break under rare conditions

Review rubric

Use this rubric to avoid blind spots:

• Correctness: invariants, edge cases, error handling, races
• Fitness: does it meet the user goal, and does it match product constraints?
• Tests: coverage of new logic, regression tests, deterministic behavior
• Consistency: patterns, naming, types, boundaries, IPC typing
• Maintainability: complexity, duplication, readability
• Performance: hot paths, streaming, excessive re-renders/IO
• Safety: secrets, path traversal, injection risks, filesystem safety
• DX: logs, error messages, debuggability

Clean up delegated review work

After consolidating the findings, remember that completed review sub-agents remain as inactive child workspaces. Keep any child that still needs follow-up; otherwise remove completed review children in one deepest-first task_remove batch. Use task_stop only for review work that is still active but no longer needed.

Anti-patterns

• Single-threaded review of a large change (spawn sub-agents).
• Vague feedback (“looks good”) without actionable items and file paths.
• Non-verifiable suggestions (always include a validation plan).
• Scope creep disguised as review (focus on minimal changes unless risk demands more).