Results for “reviews”

Runs a structured bug-fix pipeline: scouts evidence, diagnoses root cause, applies minimal fixes, and reviews before committing.

Runs independent AI CLI reviewers over phase plans and merges their feedback into a REVIEWS.md file.

Reviews local branch changes for bugs, security vulnerabilities, and code quality issues using a structured checklist and attack surface mapping.

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

Routes quality reviews to specialized critic agents based on file type or flags, covering peer review, code review, and manuscript polish.

Designs, reviews, and troubleshoots Apex triggers using a single-trigger-per-object handler pattern with recursion guards and activation bypass.

Reviews local branch changes for bugs, security vulnerabilities, and code quality issues, using a structured checklist and verification process.

Reviews pull request diffs for correctness, security, maintainability, and test coverage, providing severity-ranked findings and a close-out recommendation.

Reviews and authors Cloudflare Workers code against production best practices, covering configuration, request handling, architecture, observability, code patterns, and security.

Reviews a codebase for structural smells and refactors them with provable safety, using micro commits and green-bar discipline.

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

Audit Django code for validated performance issues including N+1 queries, unbounded querysets, missing indexes, and write loops.

Finds the open GitHub PR for the current branch and helps address review comments using the gh CLI.

Performs structured code reviews of git branches, tracking findings in a living document and optionally running deep architectural analysis with subagents.

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

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.

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy, flagging issues with easing, duration, performance, and accessibility.

Executes implementation plans by dispatching a fresh subagent per task and running two-stage reviews for spec compliance and code quality.

Reviews local branch changes for bugs, security vulnerabilities, and code quality issues, producing a prioritized report with severity ratings and concrete fixes.

Selects and reviews Queueable, Batch, Future, and Schedulable Apex for callouts, large data processing, retries, and background work, with decision guidance and validation checklists.

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

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

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.

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.

Reviews a PR or diff through three independent lenses—correctness, security, and test coverage—then deduplicates and validates findings before persisting them, reducing noise while catching more real bugs.