Analysis updated 2026-05-18
Paste a git diff into an AI chat with the security prompt to catch injection or auth issues before merging
Run the all in one prompt to get a single scored review report covering every dimension at once
Stack a language specific add on, like Python or Go, on top of a general prompt for idiomatic checks
Use the Spanish twin of any prompt for teams that review code in Spanish
| dcarrero/awesome-code-review-prompts | eburgueno/chat-rk1 | davorpa/shell-utils | |
|---|---|---|---|
| Stars | 8 | 8 | 7 |
| Language | Shell | Shell | Shell |
| Last pushed | — | — | 2021-09-18 |
| Maintenance | — | — | Dormant |
| Setup difficulty | easy | hard | easy |
| Complexity | — | 5/5 | 1/5 |
| Audience | developer | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
This repository is a collection of ready to paste prompts for asking an AI assistant to review your code. Instead of writing your own instructions each time, you copy one of these prompt files into a chat with an AI model and paste your code or diff alongside it. The prompts are organized by dimension: security, cybersecurity and infrastructure, performance, accessibility, usability, code quality, testing, and safety concerns specific to AI generated code. There is also an all in one prompt that runs every dimension at once and produces a single scored report. On top of these general prompts, the project includes add ons for over a dozen languages and frameworks, such as JavaScript, Python, Ruby, PHP, Java, Go, C sharp, Swift, Kotlin, and Rust, which you append after a general prompt to get checks specific to that stack. Every prompt file exists in both English and a matching Spanish version, so teams working in either language can use the same structure. The suggested workflow is simple: pick a dimension, paste the master prompt into the chat, add your code as a git diff for a quick pull request check or a full file or folder for a deeper audit, then optionally stack a language specific add on. Each master prompt is written to first ask the AI up to three clarifying questions before it reviews, so the review is based on real context rather than guesses. The prompts are plain text and not tied to one AI vendor. The README states they are tuned for Claude Fable 5 but are also designed to work with other frontier models that can follow structured instructions, including other Claude models, GPT models, Gemini, Grok, and DeepSeek. The project is licensed under MIT.
A library of copy paste prompts that turn an AI chat model into a structured code reviewer for security, performance, accessibility, and more.
Mainly Shell. The stack also includes Markdown, Shell.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.