Develop Agent Mode Prompts

Use GitHub Copilot to open a pull request in the specified repo and assign the PR to the requested reviewer.

Builds a Docker image, push changes, update your Kubernetes YAML, and deploy

Agent Mode inspects updates to your collection and modifies backend code to match new routes, schemas, and expectations

Convert CSV entries into APIs and organize them into structured collections

Build a Terraform module that provisions an S3 bucket and aligns it with the API defined in the spec

Create a POST request to provision a VPC, complete with payload, parameters, and example values

Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections

Deprecate an API, update the API, opens a PR with a comprehensive description

Instantly create a branch with test coverage and send it for review in the same click

Generate a standards-compliant MCP server based on your entire collection

Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests

Identify the most severe active problem in an environment, examine affected entities and related logs/traces, and compile a notebook summarizing the root cause analysis.

Create a Jira bug in your project containing the failing response details, assign it, and attach the full request/response payload as a comment for quick triage.

Create a posts table with id, created_at, title, content, and user_id columns (including schema/migration SQL and basic constraints) ready for app use.

Parse weekly sync notes to create new Linear issues, update existing statuses, and attach action items and owners so your sprint backlog matches the meeting outcomes.

Compare an API response schema to repository data models, update type definitions on a new branch, and open a pull request with the changes.

Use GitHub Copilot to open a pull request in the specified repo and assign the PR to the requested reviewer.

Create and send test invoice via PayPal and return the public invoice link for verification and end-to-end testing.

Review what worked in resolving similar past errors and test failures for faster resolutions.

Let Agent Mode spin up issues that automatically populate the issue description with context from the resource where the error is occurring, what's not working, and what you've tried already to fix it.

Agent Mode connects to the container behind this request and runs shell commands you specify, helping you inspect state, debug issues, and validate fixes without switching tools.

Connect to a running Docker container and stream logs or metrics while you send requests, helping you observe performance and failures in real time.

Convert your collection into a serverless application and instantly generate functions, handlers, and deployment configuration for your preferred cloud platform.

Agent Mode designs and scaffolds a complete event-driven application using Kafka, wiring topics, producers, and consumers based on your collection or spec.

Generate a server stub with validation, auth scaffolding, error handling, folder structure, and test examples

Generate a production-ready Python SDK with built-in error handling, retries, and example scripts

Builds a Docker image, push changes, update your Kubernetes YAML, and deploy

Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201

Generates a complete CRUD application including backend routes and a functional UI

Agent Mode inspects updates to your collection and modifies backend code to match new routes, schemas, and expectations

Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success

Convert CSV entries into APIs and organize them into structured collections

Integrate PayPal API operations into your application and generate requests, handle auth, and see example workflows

Build a Terraform module that provisions an S3 bucket and aligns it with the API defined in the spec

Create a POST request to provision a VPC, complete with payload, parameters, and example values

Save the a request into a newly created, well-structured collection

Create a new GET request with query params, path params, and example responses

Add a properly structured POST request with example payloads and parameters

Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections

Write a backend controller function with logic, validation, and error handling

Add a new backend route with request validation and example responses

Rewrite backend logic from TS/Express to Python/Flask while preserving routing and behavior

Create a runnable Flask server with routes and example responses.

Deprecate an API, update the API, opens a PR with a comprehensive description

Instantly create a branch with test coverage and send it for review in the same click

Generate a standards-compliant MCP server based on your entire collection

Agent Mode updates backend route definitions across backend code.

Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests

Identify the most severe active problem in an environment, examine affected entities and related logs/traces, and compile a notebook summarizing the root cause analysis.

Create a Jira bug in your project containing the failing response details, assign it, and attach the full request/response payload as a comment for quick triage.

Compare an API response schema to repository data models, update type definitions on a new branch, and open a pull request with the changes.

Create and send test invoice via PayPal and return the public invoice link for verification and end-to-end testing.

Review what worked in resolving similar past errors and test failures for faster resolutions.

Let Agent Mode spin up issues that automatically populate the issue description with context from the resource where the error is occurring, what's not working, and what you've tried already to fix it.

Agent Mode connects to the container behind this request and runs shell commands you specify, helping you inspect state, debug issues, and validate fixes without switching tools.

Connect to a running Docker container and stream logs or metrics while you send requests, helping you observe performance and failures in real time.

Generate a server stub with validation, auth scaffolding, error handling, folder structure, and test examples

Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201

Agent Mode inspects updates to your collection and modifies backend code to match new routes, schemas, and expectations

Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success

Save the a request into a newly created, well-structured collection

Create a new GET request with query params, path params, and example responses

Add a properly structured POST request with example payloads and parameters

Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections

Instantly create a branch with test coverage and send it for review in the same click

Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests

Create a Jira bug in your project containing the failing response details, assign it, and attach the full request/response payload as a comment for quick triage.

Parse weekly sync notes to create new Linear issues, update existing statuses, and attach action items and owners so your sprint backlog matches the meeting outcomes.

Use GitHub Copilot to open a pull request in the specified repo and assign the PR to the requested reviewer.

Create and send test invoice via PayPal and return the public invoice link for verification and end-to-end testing.

Generate a production-ready Python SDK with built-in error handling, retries, and example scripts

Convert CSV entries into APIs and organize them into structured collections

Integrate PayPal API operations into your application and generate requests, handle auth, and see example workflows

Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections

Deprecate an API, update the API, opens a PR with a comprehensive description

Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests

Identify the most severe active problem in an environment, examine affected entities and related logs/traces, and compile a notebook summarizing the root cause analysis.

Create a posts table with id, created_at, title, content, and user_id columns (including schema/migration SQL and basic constraints) ready for app use.

Compare an API response schema to repository data models, update type definitions on a new branch, and open a pull request with the changes.

Create and send test invoice via PayPal and return the public invoice link for verification and end-to-end testing.

Review what worked in resolving similar past errors and test failures for faster resolutions.

Let Agent Mode spin up issues that automatically populate the issue description with context from the resource where the error is occurring, what's not working, and what you've tried already to fix it.

Agent Mode connects to the container behind this request and runs shell commands you specify, helping you inspect state, debug issues, and validate fixes without switching tools.

Convert your collection into a serverless application and instantly generate functions, handlers, and deployment configuration for your preferred cloud platform.

Agent Mode designs and scaffolds a complete event-driven application using Kafka, wiring topics, producers, and consumers based on your collection or spec.

Generate a server stub with validation, auth scaffolding, error handling, folder structure, and test examples

Generate a production-ready Python SDK with built-in error handling, retries, and example scripts

Builds a Docker image, push changes, update your Kubernetes YAML, and deploy

Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201

Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success

Convert CSV entries into APIs and organize them into structured collections

Integrate PayPal API operations into your application and generate requests, handle auth, and see example workflows

Save the a request into a newly created, well-structured collection

Create a new GET request with query params, path params, and example responses

Add a properly structured POST request with example payloads and parameters

Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections

Deprecate an API, update the API, opens a PR with a comprehensive description