Simplify Code

Review changed code for reuse, quality, efficiency, and clarity issues. Use Codex sub-agents to review in parallel, then optionally apply only high-confidence, behavior-preserving fixes.

When to Use

• When the user asks to simplify, clean up, refactor, or review changed code.
• When you want high-confidence, behavior-preserving improvements on a scoped diff.

Modes

Choose the mode from the user's request:

• review-only: user asks to review, audit, or check the changes
• safe-fixes: user asks to simplify, clean up, or refactor the changes
• fix-and-validate: same as safe-fixes, but also run the smallest relevant validation after edits

If the user does not specify, default to:

• review-only for "review", "audit", or "check"
• safe-fixes for "simplify", "clean up", or "refactor"

Step 1: Determine the Scope and Diff Command

Prefer this scope order:

1. Files or paths explicitly named by the user
2. Current git changes
3. Files edited earlier in the current Codex turn
4. Most recently modified tracked files, only if the user asked for a review but there is no diff

If there is no clear scope, stop and say so briefly.

When using git changes, determine the smallest correct diff command based on the repo state:

• unstaged work: git diff
• staged work: git diff --cached
• branch or commit comparison explicitly requested by the user: use that exact diff target
• mixed staged and unstaged work: review both

Do not assume git diff HEAD is the right default when a smaller diff is available.

Before reviewing standards or applying fixes, read the repo's local instruction files and relevant project docs for the touched area. Prefer the closest applicable guidance, such as:

• AGENTS.md
• repo workflow docs
• architecture or style docs for the touched module

Use those instructions to distinguish real issues from intentional local patterns.

Step 2: Launch Four Review Sub-Agents in Parallel

Use Codex sub-agents when the scope is large enough for parallel review to help. For a tiny diff or one very small file, it is acceptable to review locally instead.

When spawning sub-agents:

• give each sub-agent the same scope
• tell each sub-agent to inspect only its assigned review role
• ask for concise, structured findings only
• ask each sub-agent to report file, line or symbol, problem, recommended fix, and confidence

Use four review roles.

Sub-Agent 1: Code Reuse Review

Review the changes for reuse opportunities:

1. Search for existing helpers, utilities, or shared abstractions that already solve the same problem.
2. Flag duplicated functions or near-duplicate logic introduced in the change.
3. Flag inline logic that should call an existing helper instead of re-implementing it.

Recommended sub-agent role: explorer for broad codebase lookup, or reviewer if a stronger review pass is more useful than wide search.

Sub-Agent 2: Code Quality Review

Review the same changes for code quality issues:

1. Redundant state, cached values, or derived values stored unnecessarily
2. Parameter sprawl caused by threading new arguments through existing call chains
3. Copy-paste with slight variation that should become a shared abstraction
4. Leaky abstractions or ownership violations across module boundaries
5. Stringly-typed values where existing typed contracts, enums, or constants already exist

Recommended sub-agent role: reviewer

Sub-Agent 3: Efficiency Review

Review the same changes for efficiency issues:

1. Repeated work, duplicate reads, duplicate API calls, or unnecessary recomputation
2. Sequential work that could safely run concurrently
3. New work added to startup, render, request, or other hot paths without clear need
4. Pre-checks for existence when the operation itself can be attempted directly and errors handled
5. Memory growth, missing cleanup, or listener/subscription leaks
6. Overly broad reads or scans when the code only needs a subset

Recommended sub-agent role: reviewer

Sub-Agent 4: Clarity and Standards Review

Review the same changes for clarity, local standards, and balance:

1. Violations of local project conventions or module patterns
2. Unnecessary complexity, deep nesting, weak names, or redundant comments
3. Overly compact or clever code that reduces readability
4. Over-simplification that collapses separate concerns into one unclear unit
5. Dead code, dead abstractions, or indirection without value

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