Code Review Workflow and Checklist
## What’s Inside This is a complete, repeatable code review system designed to work with GPT-4. You get: - **A curated prompt template** for GPT-4 that structures a review across five dimensions: correctness, security, performance, readability, and maintainability. You paste your code snippet and the prompt; GPT-4 returns a structured analysis. - **A review checklist** (PDF + Markdown) with 20+ specific checks per dimension. Not generic “check for errors” – examples include: “Are SQL queries parameterized or escaped?” and “Does this loop have an early exit condition that could be a performance gain?” - **A workflow guide** explaining when to use GPT-4 vs. a human reviewer, and how to combine both for maximum efficiency. Covers edge cases like dependencies, side effects, and concurrency. - **A decision tree** for prioritizing review findings: critical (security, data loss) vs. important (performance regression) vs. nice-to-have (style preferences). - **A real code example** (Python and JavaScript) with a before/after review output so you can see exactly how the system works. ## How to Use You don’t need to read a manual. This is a “copy-paste and go” tool. 1. **Set up your GPT-4 session** – Paste the prompt template into a new chat. The prompt includes placeholders for language, context (e.g. “this is a backend API endpoint”), and any specific concerns (e.g. “we’re using async/await here, watch for unhandled rejections”). 2. **Run a review** – Paste your code block after the prompt. GPT-4 will return a structured output with sections for each dimension. It will flag issues with severity labels: Critical, Major, Minor, or Informational. 3. **Use the checklist** – After GPT-4’s analysis, run through the checklist manually for anything it might miss (e.g. business logic assumptions, naming conventions your team uses). The checklist includes a “human-only” section for things AI can’t judge well: intent clarity, architectural fit, and test coverage. 4. **Decide on changes** – The decision tree helps you triage. If GPT-4 flags a potential SQL injection, that’s critical – fix now. If it suggests renaming a variable from `data` to `userPayload`, that’s minor – decide based on team norms. 5. **Repeat** – The system is designed for daily use. Each review takes 5–10 minutes total, including manual checklist pass. ## Who It’s For This is not for everyone. It’s for: - **Solo developers or small teams** who don’t have a dedicated code reviewer. You write code, then use this system to catch issues before merging. Works for side projects, startups, or internal tools. - **Freelancers and contractors** who need to deliver clean code to clients. A structured review shows professionalism and reduces rework. - **Junior to mid-level engineers** who want to level up their code quality habits. The checklist teaches you what to look for – it’s like a mentor in a document. - **Tech leads reviewing PRs** – you can delegate routine checks to GPT-4 and focus on architecture and business logic. Saves 30–60 minutes per review session. **Not for:** Senior architects reviewing legacy systems with deep domain-specific rules (the prompt won’t know your internal API conventions). Also not for teams already using automated linters and static analysis – this complements those tools, it doesn’t replace them. ## A Short, Honest Note you get the files instantly after purchase. No physical item, no shipping. **Important:** Laws and tax rules regarding digital products vary by region. If you’re outside the European Union, the UK, or Australia, check your local regulations for VAT/GST/sales tax on digital goods. This product does not constitute legal or financial advice. **What this product does and doesn’t do:** It provides a structured prompt and checklist. It does **not** guarantee that GPT-4 will catch every bug or security flaw. Large language models can miss context-specific issues (e.g. “this API endpoint should only be accessible to admins, but the code allows any authenticated user”). Always use human judgment alongside AI. The value is in the repeatable process, not in blind trust. **No fake testimonials or stats here.** I’ve used this workflow on my own projects (a Flask REST API and a React dashboard). It caught a few real issues – a missing input sanitization, a redundant database query, and a variable shadowing bug. Your mileage will vary based on code complexity and how well you fill in the prompt’s context fields. **Return policy:** Because it’s a digital file, Gumroad’s standard policy applies – no refunds after download unless the file is defective. If you have issues, contact me and I’ll help. ## Why I Built This I spent years doing code reviews manually, often missing the same categories (security, performance) because I was focused on logic. GPT-4 can scan for those categories faster than I can. This workflow formalizes what I learned: AI handles the checklist, humans handle the context. It’s not magic – it’s just systematic. If that sounds useful, you’ll get value from this. If you’re looking for a magic “fix my code” button, this isn’t it. But if you want a practical, repeatable system that saves time and catches real issues, it’s worth $9.
Get it → sunshine4255.gumroad.com