Prompt Library

Code Writing AI Prompts for Engineering Teams

Enhance code quality, ensure best practices, and streamline the review process across engineering teams and projects by leveraging these AI prompts.

Department
Engineering
Connectors
github
airtable
linear
jira
gitlab
figma
See all connectors

Create a REST API

Create a REST API in [Programming Language] that handles CRUD operations for [Database]. The API should support user authentication and authorization using [Authentication Method]. Integrate logging and monitoring using [Logging Framework] and [Monitoring Tool]

Generate a Python script

Generate a Python script to automate the deployment of [Technology] on [Cloud Platform] using infrastructure-as-code principles. The script should include configuration for [Specific Services]. Include detailed logging and error-handling mechanisms

Analyze a project code repository

Analyze the code repository for [Project] focusing on recent pull requests from [Date Range]. Summarize code changes by categorizing them into feature updates, bug fixes, and performance improvements

Write a Dockerfile

Write a Dockerfile to containerize the [Application] using the [Base Image]. Document each step for clarity and ensure the final image is secure by using best practices for minimizing vulnerabilities

Summarize design changes

Summarize changes in the [Module] design since [Version]. Filter results based on documentation from [Release Time Period] and prioritize information related to [Team/Department]

Department
Engineering
Connectors
github
airtable
linear
jira
gitlab
figma
See all connectors

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