AI Prompt Templates for Software Developers
Copy-paste prompt templates optimized for common developer tasks. Each template uses proven prompt engineering techniques — role assignment, structured output, and constraints — to get consistent, high-quality results.
Build structured prompts with reusable templates, variables, and multi-format output for OpenAI, Anthropic, and Gemini APIs. All processing happens in your browser.
Prompt Sections
Variables (use {{name}} in prompts)
{{}}={{}}=Output Format
Output Preview
[SYSTEM] You are an expert code reviewer. Analyze the provided code for bugs, performance issues, security vulnerabilities, and adherence to best practices. Be specific and actionable in your feedback. [USER] ## Role You are an expert TypeScript code reviewer with 10+ years of experience. ## Context Review the following TypeScript code from a web application project. ## Task Analyze this code for: 1. Bugs and logical errors 2. Performance issues 3. Security vulnerabilities 4. Best practice violations 5. Readability improvements ## Output Format For each issue found, provide: - **Severity**: Critical / Warning / Info - **Line**: The affected code - **Issue**: What's wrong - **Fix**: How to fix it
Variable Quick-Fill
Why use prompt templates?
Prompt templates solve the biggest problem with AI-assisted development: inconsistent output quality. By standardizing your prompts with clear roles, structured tasks, and output format requirements, you get reliable results every time. Templates also save time — instead of crafting a new prompt for each code review or test generation task, you fill in variables and go. Teams can share templates to maintain consistent AI usage across projects.
Template anatomy
Effective prompt templates have five sections: Role (who the AI is), Context (what it's working with), Task (what to do), Output Format (how to structure the response), and Constraints (boundaries and rules). Not every prompt needs all five sections, but including Role, Task, and Output Format dramatically improves output quality. Variables like {{language}} and {{framework}} make templates reusable across different projects.
Common developer prompt categories
The most useful prompt template categories for developers are: Code Review (bugs, performance, security), Test Generation (unit tests, edge cases, coverage), Documentation (API docs, README, code comments), Code Explanation (line-by-line walkthrough, concept explanation), Refactoring (DRY, SOLID, readability), and Data Tasks (SQL generation, data analysis, schema design). Each category benefits from specialized system prompts and output formats.
Frequently Asked Questions
What makes a good AI prompt for code review?
A good code review prompt assigns an expert reviewer role, specifies the language and project context, lists what to check (bugs, performance, security, style), and defines the output format (severity, affected code, issue description, fix suggestion). Including constraints like 'focus on top 5 issues' prevents overwhelming output.
How do I create reusable prompt templates?
Use variables (e.g., {{language}}, {{framework}}) for values that change between uses. Structure your prompt into named sections (Role, Context, Task, Format, Constraints) that can be toggled on/off. Store templates in a builder tool or version-control them alongside your codebase.
Should I use system prompts or include everything in the user message?
Use system prompts for persistent behavior (role, rules, output format) and user messages for per-request content (the actual code, data, or question). This separation makes templates more modular — you can reuse the same system prompt with different user inputs.
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