React Code Doctor

by Alex Z.|4.4(39 ratings)|
Tech & developmentPlatform-hosted

Overview

Hand it your React code and get back a quality report: performance traps, anti-patterns, and likely bugs, each with a fix you can apply.

What it does

  • Performance diagnosis: unnecessary re-renders, unstable references, and expensive work in render, traced to the component and line
  • Anti-pattern flags: effect misuse, derived-state-in-state, prop drilling, and key misuse, called out with why they bite
  • Bug-risk review: stale closures, missing dependencies, and races in async effects surfaced before they ship
  • Fix suggestions: every finding paired with a concrete code change, not just a warning
  • Rule-based checks: a configurable rule set (inspect, why, rules) you can run in CI or on demand

Where it fits

  • A front-end engineer in code review: "Review this PR's components for re-render traps and stale effects." A prioritized report with line-level fixes before you approve.
  • A lead onboarding a codebase: "Audit src/ for React anti-patterns and rank by impact." A triaged list to work through.
  • An engineer chasing a slow page: "Why does this list re-render on every keystroke?" The offending reference traced, with the memo or split that fixes it.

How it works

  1. Point it at your code: a file, a component, a PR diff, or a directory.
  2. It runs the diagnosis: rules and analysis flag performance traps, anti-patterns, and bug risks.
  3. You get a report back: findings ranked by impact, each with an explanation and a suggested fix to review and apply.

Built for front-end engineers and teams running React code review. Every finding is a suggestion for you to review; no code changes without your approval.

Capabilities

React review
Performance
Anti-patterns
Fix suggestions
4.6 out of 5★★★★
39 ratings·Learn more about results and reviews.

Details

Last updated
2026-06-14 08:26 UTC
Published
2026-06-05 15:02 UTC
Category
Tech & development
Price
Free
Type
Platform

Similar agents

Growth Experiment Planner

Give it your product info and get back growth-experiment plans, sales-funnel analysis, and content-optimization recommendations. ## What it does - **Growth experiment plans:** a backlog of testable ideas with hypotheses and expected outcomes - **Sales-funnel analysis:** where users drop and what to do about it - **Content optimization:** what to change, add, or cut to convert better - **Actionable output:** recommendations structured for a team to pick up and run ## Where it fits - **A growth team planning a sprint:** "What experiments should we run this cycle?" A ranked backlog with rationale. - **A marketer diagnosing drop-off:** "Why are users leaving at checkout?" A funnel read with fixes. - **A content lead improving copy:** "Optimize this landing page for conversions." Specific recommendations to apply. ## How it works 1. **Give it your product info:** audience, funnel, and current performance. 2. **It analyzes and plans:** experiments, funnel, and content recommendations. 3. **You get a growth plan back:** ideas ranked by impact, ready to run. Built for growth marketers and product teams. Every recommendation is a draft for you to validate and act on.

Free

Brand Voice & Account Plan Builder

Give it documents or a dataset and get back structured knowledge work: brand and voice guidelines, account plans, and periodic briefs, from a collection of knowledge-work plugins. ## What it does - **Document synthesis:** documents and datasets distilled into structured summaries - **Brand & voice:** guidelines discovered and enforced across your content - **Account plans:** research pulled into a structured plan - **Periodic briefs:** weekly briefs and channel digests assembled for you ## Where it fits - **A consultant onboarding a client:** "Discover their brand voice from these materials." A guideline doc to work from. - **A sales team prepping:** "Generate an account plan for this prospect." A structured plan in one pass. - **A team staying aligned:** "Send me a weekly brief on this channel." A recurring digest. ## How it works 1. **Give it inputs:** documents, a dataset, or a target. 2. **It runs the right plugin:** synthesis, guidelines, planning, or briefing. 3. **You get a structured output back:** a doc ready to review and use. Slash commands: `/discover-brand` `/enforce-voice` `/generate-account-plan` `/weekly-brief` `/channel-digest` Built for consulting, research, and knowledge-intensive teams. Every output is a draft for you to review.

Free

Investment Banking AI Analyst

Your deal team in a box: 10 specialist analysts for investment banking, equity research, private equity, and fund operations. Hand it a deal, a company, or a portfolio, and get back pitch books, models, research notes, and fund reports as analyst-grade drafts, ready for your review. ## What it does - **Pitch books:** comps, precedents, and an LBO assembled into a branded 15 to 20 slide pitch deck (.pptx), client-ready - **Market & sector research:** sector overview, competitive landscape, peer comps, and a shortlist of ideas in a structured HTML or Word brief - **Earnings analysis:** an earnings call plus the latest filings turned into a model update and a desk-ready research-note draft - **Financial modeling:** DCF, LBO, 3-statement, and comps models as working Excel files with live formulas, not hardcoded numbers - **Meeting prep:** a one-page briefing pack on the company, the people, and the open questions before every client meeting - **Fund valuation review:** GP packages reconciled into a valuation template and an LP-ready reporting pack - **GL reconciliation:** accounting breaks found, root cause traced, each item routed for sign-off - **Month-end close:** accruals, roll-forwards, and variance commentary, close-ready - **KYC screening:** onboarding docs parsed, the rules engine run, and compliance gaps flagged with an audit trail ## Where it fits - **A banker prepping a pitch:** "Build comps and an LBO for [target], then drop them into our pitch template." A branded deck in hours, not days. - **An equity research analyst on earnings day:** "Read [company]'s Q3 call and 10-Q, update the model, and draft the note." Model and note ready to edit before the desk opens. - **A PE associate at quarter-end:** "Reconcile these GP statements into our valuation template and prep the LP report." A valuation review plus an LP-ready package. - **A fund accountant at month-end:** "Run the GL reconciliation and write up the variances." Breaks flagged with root cause and commentary. ## How it works 1. **Point it at your inputs:** filings, earnings calls, GP packages, onboarding docs, or just a company name. 2. **It routes to the right agent:** each task maps to a specialist that knows the workflow, the templates, and the checks. 3. **You get a draft back:** Excel models, branded decks, research notes, or reconciliations, structured for a human to review and sign off. Slash commands: `/comps` `/dcf` `/earnings` `/ic-memo` Built for investment banks, equity research desks, PE/VC funds, and wealth-management teams. Every output is an analyst draft for human review. No transactions executed, no ledger posts.

Free