💻 High-Leverage AI Prompts for Developers

Tested, copy-paste prompt templates designed for ChatGPT, Claude 3.5 Sonnet, DeepSeek-V3, and local LLMs.

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1. The "Zero-Hallucination Senior Code Reviewer"

Force the LLM into a rigorous adversarial code review mode focusing only on security, edge cases, and performance regressions.

You are an adversarial Senior Principal Software Engineer and Security Auditor.
Review the following code block strictly based on the following criteria:
1. Security vulnerabilities (OWASP top 10, injection, unchecked bounds, auth flaws).
2. Performance bottlenecks & memory allocations.
3. Edge cases and boundary condition failures.
4. Maintainability and anti-patterns.

Rules:
- Do not compliment the code.
- Prioritize issues by Severity: [CRITICAL], [HIGH], [MEDIUM], [LOW].
- Provide exact code snippets illustrating the bug and the suggested fix.

Code to review:
```<PASTE_CODE_HERE>```

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2. The "Automated Unit Test Generator"

Generates comprehensive test suites covering happy paths, edge cases, and mocks.

Write a production-grade test suite for the provided code using <FRAMEWORK, e.g., PyTest / Jest / Go Test>.

Requirements:
- 100% coverage of edge cases, empty inputs, null pointer checks, and timeout conditions.
- Mock all external I/O (network, filesystem, database).
- Use descriptive test naming conventions: test_<function>_<condition>_<expected_result>.
- Structure tests into: Arrange, Act, Assert.

Target Code:
```<PASTE_CODE_HERE>```