Top AI Prompts for Software Development

List 5 innovative feature ideas for a mobile app focused on personal finance, inspired by the ‘Q2 Product Strategy’ doc.

Use Case: Speeds up brainstorming by leveraging existing strategic insights.

ClickUp Brain Behaviour: Analyzes linked documents to extract key themes and suggest fresh feature concepts.

What coding best practices are trending for React.js projects in 2024?

Use case: Supports developers in adopting current standards and improving code quality.

ClickUp Brain Behaviour: Synthesizes information from internal style guides and external resources when available.

Create a technical specification for a REST API endpoint handling user authentication, referencing the ‘Auth Module’ design docs and previous sprint notes.

Use Case: Aligns development and QA teams with clear, structured requirements.

ClickUp Brain Behaviour: Extracts relevant details from linked files to generate a comprehensive spec document.

Summarize performance benchmarks comparing Node.js and Python backends from our ‘Backend Q1 Review’ doc.

Use Case: Facilitates informed technology decisions without manual data analysis.

ClickUp Brain Behaviour: Pulls tabular and narrative data from internal reports to deliver a concise comparison.

List top security vulnerabilities found in recent code audits, referencing internal audit reports and issue trackers.

Use Case: Helps prioritize fixes by highlighting common weaknesses.

ClickUp Brain Behavior: Scans documents and compiles a list of recurring security concerns with context notes.

From the ‘Unit Testing Guidelines’ doc, generate a checklist for test coverage and quality assurance

Use Case: Simplifies test planning and ensures adherence to standards.

ClickUp Brain Behavior: Identifies key criteria and formats them into an actionable checklist within tasks or docs.

Summarize 3 emerging UI/UX patterns in web app development from recent user feedback and design review docs.

Use Case: Keeps frontend teams updated with user-centered design trends.

ClickUp Brain Behavior: Extracts common themes and insights from linked research and notes.

From the ‘Developer Survey 2024’ doc, summarize key preferences for IDE features and tooling.

Use Case: Guides tooling decisions to enhance developer productivity.

ClickUp Brain Behavior: Analyzes survey data to highlight popular requests and pain points.

Write concise and clear commit message templates for feature additions, following the style guide in ‘GitConventions.pdf’.

Use Case: Ensures consistent and meaningful version control documentation.

ClickUp Brain Behavior: References tone and formatting guidelines to suggest message examples.

Summarize key updates in the 2024 OWASP Top 10 and their implications for our web app security.

Use Case: Keeps security teams informed to maintain compliance and protect assets.

ClickUp Brain Behavior: Reviews linked security documents and public updates to produce a digestible summary.

Generate coding standards for API error handling based on internal guidelines and industry best practices.

Use Case: Promotes uniform error management across development teams.

ClickUp Brain Behavior: Extracts rules and formats them into clear, actionable standards.

Create a checklist for code review focusing on accessibility compliance, referencing our ‘Accessibility Standards’ docs.

Use Case: Helps ensure products meet inclusivity requirements.

ClickUp Brain Behavior: Compiles criteria from linked documents into a practical review checklist.

What are the latest trends in microservices architecture for scalable web applications since 2023?

Use Case: Provides architects with insights to design future-proof systems.

ClickUp Brain Behavior: Synthesizes information from internal research, whitepapers, and uploaded reports.

Summarize common performance bottlenecks reported in our SaaS platform logs and user feedback.

Use Case: Drives targeted optimizations based on real-world data.

ClickUp Brain Behavior: Extracts and prioritizes issues from monitoring data, tickets, and feedback notes.

Summarize key cabin usability gaps from the Southeast Asia EV feedback folder (materials, layout, interactions).

Use Case: Drives region-specific product improvements.

ClickUp Brain Behavior: Extracts and prioritizes user-reported issues across survey responses, feedback notes, and tagged tickets.

Define the coding challenge clearly

Vague prompts produce broad results. Specify details like programming language (e.g., “Python” or “JavaScript”), project type (e.g., “web app” or “API service”), or functionality goals (e.g., “user authentication” or “data visualization”).

Example: “Generate a Python script to parse JSON data and extract user information.”

Use comparative prompts to evaluate approaches

AI excels at contrasting different coding methods. Use prompts like “compare X vs Y” to assess algorithm efficiency, library choices, or design patterns.

Example: “Compare recursive vs iterative methods for traversing a binary tree.”

Frame prompts around specific coding objectives

Treat your prompt as a clear task for AI to solve. Instead of vague requests like “Write code,” focus on the intended outcome:

Example: “Develop a responsive login form in React with client-side validation.”

Specify desired output format

Need a function, class definition, code snippet, or documentation? Clearly state it. AI delivers better when output expectations are set.

Example: “Provide a commented JavaScript function that sorts an array using merge sort.”