80+ production-tested AI prompts
A curated prompt library for full-stack engineers — covering code review, debugging, refactoring, docs, and architecture. Built for Claude, ChatGPT, and GitHub Copilot.
Join engineers who've already saved hours this week
Generic inputs return generic output. You re-run the same prompt five times hoping it clicks.
No system, no history. Every debugging session starts from scratch.
No shared baseline. Half your team is still doing things the slow way.
Not a collection of tips. An opinionated, structured library organized by task — with context-setting headers, chain templates, and variable slots so you can paste and go.
▌| Feature | Starter | Pro |
|---|---|---|
| Prompt count | 48 | 82+ |
| Categories | 5 | 9 |
| Chain templates | ✓ | ✓ |
| Notion template | — | ✓ |
| Architecture prompts | — | ✓ |
| Interview Prep (10 prompts) | — | ✓ |
| Format | PDF + Notion |
Master Code Review
You are a senior software engineer performing a thorough code review. Context: - Language/Framework: [LANGUAGE_FRAMEWORK] - PR purpose: [PR_PURPOSE] - Team experience level: [TEAM_LEVEL] Review the following code and return findings grouped by severity: 🔴 CRITICAL — must fix before merge (bugs, security, data loss) 🟡 MAJOR — should fix (performance, maintainability) 🟢 MINOR — nice to fix (style, naming, minor improvements) For each finding provide: 1. Location (file:line if possible) 2. Issue description 3. Why it matters 4. Suggested fix (with code snippet if applicable) Code to review: ```[LANGUAGE] [CODE] ``` End with a one-paragraph overall assessment and a MERGE / REQUEST CHANGES / APPROVE WITH NITS verdict.
Stack Trace Interpreter
You are an expert debugger. Interpret the following stack trace and explain it in plain English. Language/Runtime: [LANGUAGE_RUNTIME] (e.g., "Node.js 20", "Python 3.11", "JVM 17") Application context: [BRIEF_APP_DESCRIPTION] Stack trace: ``` [PASTE_STACK_TRACE] ``` Additional context (logs, recent changes, reproduction steps): [ADDITIONAL_CONTEXT] Provide: 1. **Root cause** (in one sentence, plain English — no jargon) 2. **Call chain walkthrough**: Step through each frame explaining what was happening 3. **The exact line that failed** and why 4. **Most likely causes** (ranked 1–3 with probability estimate) 5. **Immediate fix**: What to change to resolve the most likely cause 6. **Preventive measure**: How to prevent this class of error in the future
Make This Testable
You are refactoring code to make it unit testable without changing its external behavior. Language: [LANGUAGE] Code: ```[LANGUAGE] [CODE] ``` Identify what makes this code hard to test: 1. **Hard dependencies** — direct instantiation of external services, databases, APIs 2. **Static method calls** — global state access that can't be replaced in tests 3. **Side effects baked into constructors** 4. **Non-deterministic behavior** — random numbers, current time, environment reads 5. **No seams** — nowhere to inject test doubles For each testability problem: - Show the problematic pattern - Apply the appropriate fix: - Constructor/parameter injection for dependencies - Strategy pattern for variable behavior - Clock/random abstraction for non-determinism - Pure function extraction for logic buried in I/O Show the refactored code, then show a sample unit test that would now be possible.
Starter Kit
The essential prompt library for engineers who want structured, repeatable AI workflows.
Pro Kit
The complete system — every prompt category, chain templates, Notion integration, and interview prep.
One-time payment. Instant delivery. No subscription.
All of them. The prompts are plain text — they work with Claude, ChatGPT, GitHub Copilot Chat, Gemini, and any other AI assistant that accepts text input. No special integration required.
No. This is a one-time purchase. You pay once and own the kit.
You receive a PDF download immediately after purchase. Pro tier also includes a Notion template you can duplicate to your workspace. The PDF is formatted for easy browsing with a table of contents, category chapters, and copy-ready prompt blocks.
The kit is yours for personal use.
Yes. Depending on the size of the update, past buyers will receive generous discounts on the new version.
The prompts are shown in detail on this page before you buy — what you see is what you get. All sales are final.