Results for “code-review”

Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness. Identifies antipatterns and suggests idiomatic improvements. Use when reviewing fi, fimath, numerictype, or quantizenumeric code.

Classifies code review findings to choose the smallest correct response, preventing one-patch-per-comment churn.

Guides technical evaluation of code review feedback, emphasizing verification before implementation and reasoned pushback over performative agreement.

Analyzes code diffs and files to identify bugs, security vulnerabilities, code smells, and architectural concerns, producing a structured review report with prioritized, actionable feedback.

Review MATLAB code for quality, performance, maintainability, and adherence to MathWorks coding standards. Uses check_matlab_code and matlab_coding_guidelines. Use when reviewing code, checking style, finding code smells, assessing quality, or preparing code for handoff or publication.

Dispatches a code-reviewer subagent to evaluate work against requirements and plan, then acts on the feedback before merging.

Verifies a code change before it lands by scanning the staged diff, running tests, and delegating to an independent reviewer.

Reviews all uncommitted changes in the current Git repository and produces a structured code review report with findings and a verdict.

Review git diffs or file scopes for code reuse, quality, efficiency, and clarity issues, then optionally apply safe, behavior-preserving fixes.

Reviews staged and unstaged code changes for security vulnerabilities, code quality issues, and adherence to project conventions, reporting findings by severity.

Runs three parallel reviewers to find code reuse, quality, and efficiency issues in a diff, then applies safe fixes and reports risky ones.

OpenAI Codex CLI wrapper — three modes. Code review: independent diff review via codex review with pass/fail gate. Challenge: adversarial mode that tries to break your code. Consult: ask codex anything with session continuity for follow-ups. The "200 IQ autistic developer" second opinion. Use when asked to "codex review", "codex challenge", "ask codex", "second opinion", or "consult codex". (gstack) Voice triggers (speech-to-text aliases): "code x", "code ex", "get another opinion".

Review and refactor code according to project-specific coding guidelines and instructions.

Architect code review with DRY, YAGNI, abstraction, and test coverage principle enforcement

The single highest-leverage convention in code review is prefixing every comment

Run an AI-assisted PR code review using multi-layer lenses with confidence scoring.

Performs comprehensive SQL code review across all major databases, analyzing security, performance, maintainability, and anti-patterns.

Review pull requests following Sentry engineering practices, covering security, performance, testing, and design.

Produces ultra-compressed, one-line code review comments that cut noise while preserving actionable signal. Each comment includes location, problem, and fix.

Use for thorough code review before merging changes.

Ultra-compressed code review comments. Cuts noise from PR feedback while preserving the actionable signal. Each comment is one line: location, problem, fix. Use when user says "review this PR", "code review", "review the diff", "/review", or invokes /caveman-review. Auto-triggers when reviewing pull requests.

Runs five parallel review agents on code changes, validates findings, triages them, and applies approved fixes after confirmation.

Runs three parallel reviewer agents over recent code changes, aggregates their findings, and applies the fixes worth applying.

Reviews code through the lens of 12 classic software engineering books, catching design smells, coupling issues, and architectural risks that linters miss.

Reviews code diffs or explicit file sets through independent correctness and QA lenses, producing a severity-ordered verdict for pre-merge audits or review gates.

Review C#/.NET code for design pattern implementation and suggest improvements without making changes.

Runs the current git diff through the Codex CLI for an independent, read-only second-opinion review, then triages findings back into the session for Claude to apply fixes.

Comprehensive code review using specialized agents — orchestrates code, comments, tests, errors, types, and simplify agents sequentially.

Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits.

Delegates a task to OpenAI's Codex CLI for an independent review or second opinion, with guidance on prompt construction and handling output.

Reviews and repairs risky or unclear code with minimal validated changes, running a fixed-point loop until the diff is clean across two consecutive review cycles.

Runs a structured code review using four parallel subagents covering style, correctness, security, and performance, then synthesizes findings by severity and gives an approve/needs-changes recommendation.

Reviews CUDA, OpenMP, and OpenCL code for parallel correctness, covering data races, memory model violations, synchronization bugs, numerical precision issues, and API-specific pitfalls.

Runs an adversarial, decision-aware review of all session work before committing, checking decision adherence and code maintainability, and applies only user-authorized fixes.

Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.

Generate a PR description from the current branch's changes against a GitHub PR, using the gh CLI. Use when writing, drafting, or updating pull request descriptions, PR summaries, or PR bodies. Does not review code or post review comments — use code-review for local review or post-code-review-to-pr for posting a review to GitHub.