2026-01‱12 min‱Engineering

Claude Code Review: Meet the Sissies đŸ§”

An opinionated deep dive into Claude Code’s multi-agent review system—how specialized reviewers for accessibility, security, performance, React, TypeScript, and more quietly raise the bar for frontend teams.

Claude Code Review: Meet the Sissies đŸ§”
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Why Another Code Review System?

Code review is where engineering ideals go to either mature—or rot politely.

Most review tools fail in one of two ways:

  • they are too shallow (“LGTM 👍”), or
  • they are too noisy, dumping generic lint wisdom with no sense of project context.

Claude Code’s review commands take a different route:
they split responsibility across specialized, opinionated agents, each with a sharply defined role, shared standards, and zero tolerance for vague feedback.

Collectively, they’re known (affectionately, and a bit dangerously) as The Sissies.


The Big Idea: Specialized Review Agents

Instead of one omniscient reviewer pretending to be good at everything, Claude Code runs parallel reviewers, each focused on a single dimension of quality:

  • accessibility
  • security
  • performance
  • SEO
  • styling
  • code quality
  • React patterns
  • TypeScript safety
  • git hygiene
  • QA & requirements

Each agent:

  • follows the same commenting contract
  • uses consistent severity levels
  • posts actionable GitLab threads
  • ends with a summary verdict

Let’s meet them.


🩯 Colorblind Sissy — Accessibility

Colorblind Sissy

Accessibility reviews are usually an afterthought. This agent treats them as blocking engineering requirements.

Focus areas:

  • semantic HTML
  • keyboard navigation
  • ARIA correctness (and restraint)
  • WCAG A / AA compliance
  • reduced motion and focus visibility

If something is inaccessible, it’s not “nice to have.”
It’s a ❗ must-fix.


🔒 SecuSissy — Security

SecuSissy

This agent assumes attackers are clever, bored, and motivated.

It looks for:

  • XSS and unsafe rendering
  • leaked secrets
  • auth and session mistakes
  • insecure client-side logic
  • dependency risk

No fear-mongering. Just calm, precise threat modeling.


⚡ TurboSissy — Performance

TurboSissy

Performance reviews are about what scales badly before it hurts.

Checks include:

  • unnecessary re-renders
  • misuse of useEffect, useMemo, useCallback
  • data fetching waterfalls
  • bundle bloat
  • Core Web Vitals impact

If it slows users or burns CPUs quietly, TurboSissy notices.


🌐 Canonical Sissy — SEO

Canonical Sissy

SEO here means technical crawlability, not marketing fluff.

This agent checks:

  • server-side rendering of content
  • meta tags and canonical URLs
  • heading hierarchy
  • hidden content
  • international & RTL correctness

If Google can’t see it, it doesn’t exist.


🎹 ChicSissy — Styling & Design Systems

ChicSissy

This is where design systems stop being optional.

Focus:

  • Tailwind discipline
  • DaisyUI correctness
  • RTL safety (no left/right crimes)
  • spacing consistency
  • contrast and touch targets

It enforces visual consistency as engineering hygiene, not taste.


đŸ§č KISS Sissy — Code Quality

KISS Sissy

Readability is a feature.

This agent hunts:

  • bloated functions
  • unclear naming
  • deep nesting
  • DRY violations
  • speculative abstractions

If future-you would sigh reading this code, KISS Sissy already did.


⚛ Hooked Sissy — React

Hooked Sissy

React reviews that actually understand React.

It checks:

  • Server vs Client Component boundaries
  • hook correctness
  • state colocation
  • effect misuse
  • component responsibility

No cargo-cult patterns. No unnecessary use client.


📝 Unknown Sissy — TypeScript

Unknown Sissy

TypeScript isn’t for vibes.

This agent flags:

  • any
  • unsafe assertions
  • missing null handling
  • sloppy generics
  • bad type boundaries

It pushes toward type-driven design, not annotation theater.


📚 Detached-HEAD Sissy — Git & PR Hygiene

Detached-HEAD Sissy

This agent lives in your commit history.

It reviews:

  • commit messages
  • branch naming
  • PR size
  • missing Jira references
  • accidental file changes

Clean history is a long-term asset.


✅ BugSlayer Sissy — QA & Requirements

BugSlayer Sissy

This agent asks the uncomfortable question:

“Did we actually build what was requested?”

It:

  • maps code to Jira requirements
  • finds edge cases
  • generates test checklists
  • flags scope creep

Code can be elegant and still wrong. BugSlayer keeps receipts.


🎭 Puppet Master — The Orchestrator

Puppet Master

The Puppet Master doesn’t review code.

It:

  • parses MR metadata
  • runs architecture discovery
  • spawns enabled agents
  • collects results
  • posts the final verdict

Think of it as a conductor, not a judge.


Why This Works

Claude Code’s review system succeeds because it is:

  • opinionated (standards are explicit)
  • modular (agents can be enabled/disabled)
  • parallel (fast, focused feedback)
  • context-aware (architecture discovery first)
  • actionable (every comment suggests a fix)

It doesn’t replace humans.
It raises the floor so humans can focus on judgment instead of janitorial work.


Closing Thought

Good code review isn’t about catching mistakes.
It’s about teaching the codebase how to stay healthy.

The Sissies don’t nag.
They document expectations—relentlessly.

And that, quietly, is how teams level up.