Programming & Dev AI prompts
Code, debugging, architecture, DevOps and AI-powered development. Best for architecture thinking, debugging, and implementation planning, turning vague technical asks into concrete build steps, faster code review, documentation, and delivery workflows.
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Every prompt below is open. Copy it straight into ChatGPT, Claude, or Gemini.
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335 prompts in this category
Accessibility Audit for React app Site
A ready-to-use prompt to work through Accessibility Audit for React app Site, built for frontend work.
Best for
Professional goal: Build a scalable frontend approach for scale
Node.js Best Practices for Chrome extension
Get a strong first draft for node.js best practices for chrome extension instead of starting from a blank page — tuned for backend.
Best for
Professional goal: Optimize existing backend approach for scale
Error Handling for microservices API
A ready-to-use prompt to work through Error Handling for microservices API, built for backend work.
Best for
Professional goal: Transform the backend process with proven methods
Microservices Architecture for WordPress plugin
A ready-to-use prompt to work through Microservices Architecture for WordPress plugin, built for backend work.
Best for
Professional goal: Build a scalable backend workflow using AI tools
Backend Security for data pipeline System
Get a strong first draft for backend security for data pipeline system instead of starting from a blank page — tuned for backend.
Best for
Professional goal: Create a comprehensive backend approach for scale
Authentication System for automation script
Use this prompt to handle authentication system for automation script as a repeatable backend workflow.
Best for
Professional goal: Automate the backend framework for efficiency
REST API Design for mobile app Project
A ready-to-use prompt to work through REST API Design for mobile app Project, built for backend work.
Best for
Professional goal: Automate the backend system for growth
GraphQL Schema for React app API
A ready-to-use prompt to work through GraphQL Schema for React app API, built for backend work.
Best for
Professional goal: Design a data-driven backend strategy for better results
GraphQL Schema for ML model API
A focused prompt for backend that helps you work through GraphQL Schema for ML model API faster and more consistently.
Best for
Professional goal: Optimize existing backend strategy for better results
Caching Strategy for ML model Backend
Use this prompt to handle caching strategy for ML model backend as a repeatable backend workflow.
Best for
Professional goal: Optimize existing backend system for growth
Microservices Architecture for Chrome extension
Run microservices architecture for chrome extension with AI: a structured backend prompt you can adapt to your own context.
Best for
Professional goal: Design a data-driven backend strategy for better results
Microservices Architecture for data pipeline
Run microservices architecture for data pipeline with AI: a structured backend prompt you can adapt to your own context.
Best for
Professional goal: Streamline the backend strategy for better results
Caching Strategy for data pipeline Backend
A focused prompt for backend that helps you work through Caching Strategy for data pipeline Backend faster and more consistently.
Best for
Professional goal: Optimize existing backend framework for efficiency
Node.js Best Practices for Chrome extension
Turn "Node.js Best Practices for Chrome extension" into a practical, copy-and-run prompt for backend in programming & dev.
Best for
Professional goal: Automate the backend strategy for better results
Microservices Architecture for microservices
Run microservices architecture for microservices with AI: a structured backend prompt you can adapt to your own context.
Best for
Professional goal: Streamline the backend system for growth
GraphQL Schema for data pipeline API
Make GraphQL schema for data pipeline API repeatable: a clear backend prompt with placeholders you fill in.
Best for
Professional goal: Design a data-driven backend strategy for better results
Node.js Best Practices for ML model
Turn "Node.js Best Practices for ML model" into a practical, copy-and-run prompt for backend in programming & dev.
Best for
Professional goal: Optimize existing backend system for growth
Caching Strategy for microservices Backend
Make caching strategy for microservices backend repeatable: a clear backend prompt with placeholders you fill in.
Best for
Professional goal: Implement a systematic backend process with proven methods
Microservices Architecture for Chrome extension
A ready-to-use prompt to work through Microservices Architecture for Chrome extension, built for backend work.
Best for
Professional goal: Develop an effective backend system for growth
Error Handling for data pipeline API
Run error handling for data pipeline API with AI: a structured backend prompt you can adapt to your own context.
Best for
Professional goal: Design a data-driven backend system for growth
Database Schema for WordPress plugin App
Practical backend prompt to work through Database Schema for WordPress plugin App with AI — specific steps, not generic advice.
Best for
Professional goal: Design a data-driven backend workflow using AI tools
Caching Strategy for Python API Backend
Get a strong first draft for caching strategy for python API backend instead of starting from a blank page — tuned for backend.
Best for
Professional goal: Develop an effective backend process with proven methods
Caching Strategy for Chrome extension Backend
A ready-to-use prompt to work through Caching Strategy for Chrome extension Backend, built for backend work.
Best for
Professional goal: Develop an effective backend framework for efficiency
Database Schema for Chrome extension App
Practical backend prompt to work through Database Schema for Chrome extension App with AI — specific steps, not generic advice.
Best for
Professional goal: Enhance the backend system for growth
Database Schema for Python API App
A focused prompt for backend that helps you work through Database Schema for Python API App faster and more consistently.
Best for
Professional goal: Design a data-driven backend framework for efficiency
Python Django Setup for Python API
Make python django setup for python API repeatable: a clear backend prompt with placeholders you fill in.
Best for
Professional goal: Enhance the backend approach for scale
Caching Strategy for cloud infrastructure Backend
Run caching strategy for cloud infrastructure backend with AI: a structured backend prompt you can adapt to your own context.
Best for
Professional goal: Transform the backend approach for scale
Python Django Setup for Chrome extension
A ready-to-use prompt to work through Python Django Setup for Chrome extension, built for backend work.
Best for
Professional goal: Transform the backend strategy for better results
Backend Security for cloud infrastructure System
A ready-to-use prompt to work through Backend Security for cloud infrastructure System, built for backend work.
Best for
Professional goal: Streamline the backend framework for efficiency
Backend Security for automation script System
Make backend security for automation script system repeatable: a clear backend prompt with placeholders you fill in.
Best for
Professional goal: Streamline the backend workflow using AI tools
Every prompt here is free. The course teaches the thinking behind them.
Copy as many prompts as you like. When you want to move from single prompts to a repeatable AI workflow, Learn AI in 30 Days walks through it, one day at a time.
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Related categories
Explore adjacent prompt libraries that support programming & dev workflows.
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Design & UX
UI design, UX research, prototyping, design systems and accessibility
Project Management
Planning, agile, risk management, communication and deliverables
Personal Productivity
Organization, automation, focus, efficient meetings and decision-making
How to use Programming & Dev prompts well
Start with the prompt closest to your workflow, replace any placeholders with your own context, and tell the model what a good output looks like. The fastest improvement usually comes from clearer context, tighter constraints, and a more specific deliverable.
This category is especially useful for architecture thinking, debugging, and implementation planning. Treat the prompt as the execution layer, then refine it into a reusable workflow once you know it solves a real recurring problem.