QA Engineer Agent Mode Prompts
Increase coverage, reliability, and confidence across every API. Let Agent Mode generates comprehensive tests, surfaces regressions, and automates analysis so your team focuses on quality.
Featured QA Engineer Prompts
Export an API response to a CSV
Export data from a request into a CSV file with clean column formatting
Get comprehensive tests coverage for your collection
Instantly generate thorough test coverage for all requests in your collection
Auto-fix failing requests across the entire collection
Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201
Fix all failing tests
Runs a collection, identify every failing test, and apply targeted fixes without the toil
Design
Go from idea to clear, consistent API specs. Generate OpenAPI definitions, restructure legacy specs, and keep design artifacts aligned as your API evolves.
Sync your backend code after collection changes
Agent Mode inspects updates to your collection and modifies backend code to match new routes, schemas, and expectations
Sync your collections after backend changes
Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections
Detailed 4xx and 5xx error responses to each endpoint
Get clear and consistent error responses for your API endpoints
Generate a new collection an updated spec
Agent Mode creates a fresh collection from an updated API specification
Sync backend routes into openapi.yaml
Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests
Analyze an API spec and generate a Postman Collection
Converts an API spec into a collection with examples, authorization, and test scripts
Develop
Accelerate implementation work. Generate routes, controllers, server stubs, and SDKs, or update backend logic automatically as your APIs change.
Execute commands inside this Docker container — Debug services without leaving Postman
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.
Stream live Docker container metrics as you test
Connect to a running Docker container and stream logs or metrics while you send requests, helping you observe performance and failures in real time.
Create Python server stub for your collection
Generate a server stub with validation, auth scaffolding, error handling, folder structure, and test examples
Auto-fix failing requests across the entire collection
Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201
Sync your backend code after collection changes
Agent Mode inspects updates to your collection and modifies backend code to match new routes, schemas, and expectations
Fix backend code and get to 200 OK and save hours of debugging
Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success
Save a request to a new collection
Save the a request into a newly created, well-structured collection
Add a new GET request to your collection
Create a new GET request with query params, path params, and example responses
Add a new POST request to your collection
Add a properly structured POST request with example payloads and parameters
Sync your collections after backend changes
Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections
Create and commit branch with test coverage
Instantly create a branch with test coverage and send it for review in the same click
Sync backend routes into openapi.yaml
Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests
Test
Strengthen quality and coverage. Generate comprehensive tests, surface regressions early, and integrate automated checks directly into your workflow.
Execute commands inside this Docker container — Debug services without leaving Postman
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.
Stream live Docker container metrics as you test
Connect to a running Docker container and stream logs or metrics while you send requests, helping you observe performance and failures in real time.
Map all endpoints and generate a dependency map
Sends request, map dependencies, test parameter variations, and logs failures across your entire collection
Run a collection’s CI/CD tests in GitHub
Reduce manual setup and context switch and let Agent Mode run your collection tests directly inside a GitHub CI/CD workflow all from within Postman
Create Python server stub for your collection
Generate a server stub with validation, auth scaffolding, error handling, folder structure, and test examples
Evaluate all API error rates over time
Analyze recent failures, find the most problematic API, and reproduces the common errors
Get comprehensive tests coverage for your collection
Instantly generate thorough test coverage for all requests in your collection
Auto-fix failing requests across the entire collection
Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201
Fix all failing tests
Runs a collection, identify every failing test, and apply targeted fixes without the toil
Sync your backend code after collection changes
Agent Mode inspects updates to your collection and modifies backend code to match new routes, schemas, and expectations
Fix backend code and get to 200 OK and save hours of debugging
Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success
Set up automated monitoring for your API
Configure a testable monitor with schedule, alerts, and failure conditions pre-applied
Send requests in a collection
Execute every request and get summarized responses, headers, params, and behavior to accelerate learning
Add a new GET request to your collection
Create a new GET request with query params, path params, and example responses
Add a new POST request to your collection
Add a properly structured POST request with example payloads and parameters
Sync your collections after backend changes
Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections
Create and commit branch with test coverage
Instantly create a branch with test coverage and send it for review in the same click
Create and assign JIRA ticket for failing endpoints
Automatically create a Jira issue, assigns it to the right person, and includes detailed context
Run all tests and commit results to Git
Agent Mode runs tests, updates configs, and commits results to your Git repository
Demystify testing
Execute your collection's entire test suite and identify failing tests with clear explanations and fixes
Detect common API errors and generate suggested fixes
Identify CORS issues, auth failures, rate limiting, missing data, versioning errors, and more - then fix them instantly
Sync backend routes into openapi.yaml
Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests
Document
Produce complete, accurate documentation. Create endpoint descriptions, examples, changelogs, and onboarding materials and keep it all in sync automatically.
Generate a changelog of documentation updates
Document API changes in your changelog with zero manual effort
Identify breaking API changes and create migration guide
Agent Mode identifies breaking changes, generates a v2 spec, and writes a migration guide
Write comprehensive documentation for every request in this collection
Get full documentation for every request in the collection with examples and details
Onboard and discover APIs faster
Discover the most relevant APIs, collections, docs, and workflows needed to onboard quickly to a new team or organization
Sync your collections after backend changes
Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections
Detailed 4xx and 5xx error responses to each endpoint
Get clear and consistent error responses for your API endpoints
Generate a new collection an updated spec
Agent Mode creates a fresh collection from an updated API specification
Sync backend routes into openapi.yaml
Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests
Analyze an API spec and generate a Postman Collection
Converts an API spec into a collection with examples, authorization, and test scripts
Auto-generate documentation for endpoints
Agent Mode finds undocumented endpoints or parameters and generates structured docs for each
Generate endpoint documentation
Agent Mode produces clean, consistent documentation for each endpoint including purpose, parameters, and example responses
Debug
Resolve issues with confidence. Diagnose failing requests, patch backend issues, and get clear explanations that turn cryptic errors into actionable fixes.
Execute commands inside this Docker container — Debug services without leaving Postman
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.
Stream live Docker container metrics as you test
Connect to a running Docker container and stream logs or metrics while you send requests, helping you observe performance and failures in real time.
Map all endpoints and generate a dependency map
Sends request, map dependencies, test parameter variations, and logs failures across your entire collection
Evaluate all API error rates over time
Analyze recent failures, find the most problematic API, and reproduces the common errors
Auto-fix failing requests across the entire collection
Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201
Fix all failing tests
Runs a collection, identify every failing test, and apply targeted fixes without the toil
Fix backend code and get to 200 OK and save hours of debugging
Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success
Send requests in a collection
Execute every request and get summarized responses, headers, params, and behavior to accelerate learning
Create and assign JIRA ticket for failing endpoints
Automatically create a Jira issue, assigns it to the right person, and includes detailed context
Detailed 4xx and 5xx error responses to each endpoint
Get clear and consistent error responses for your API endpoints
Demystify testing
Execute your collection's entire test suite and identify failing tests with clear explanations and fixes
Detect common API errors and generate suggested fixes
Identify CORS issues, auth failures, rate limiting, missing data, versioning errors, and more - then fix them instantly
Automation
Eliminate repetitive work. Orchestrate tasks across tools like GitHub, Jira, Slack, Postman, and your filesystem to streamline multi-step workflows.
Map all endpoints and generate a dependency map
Sends request, map dependencies, test parameter variations, and logs failures across your entire collection
Run a collection’s CI/CD tests in GitHub
Reduce manual setup and context switch and let Agent Mode run your collection tests directly inside a GitHub CI/CD workflow all from within Postman
Create Python server stub for your collection
Generate a server stub with validation, auth scaffolding, error handling, folder structure, and test examples
Evaluate all API error rates over time
Analyze recent failures, find the most problematic API, and reproduces the common errors
Generate a changelog of documentation updates
Document API changes in your changelog with zero manual effort
Export an API response to a CSV
Export data from a request into a CSV file with clean column formatting
Auto-fix failing requests across the entire collection
Agent Mode executes all requests, identifies failures, patches backend issues, restarts the server, and ensures all routes return 200/201
Sync your backend code after collection changes
Agent Mode inspects updates to your collection and modifies backend code to match new routes, schemas, and expectations
Fix backend code and get to 200 OK and save hours of debugging
Agent Mode patches backend code, restarts your server, and reruns failing requests until they return success
Set up automated monitoring for your API
Configure a testable monitor with schedule, alerts, and failure conditions pre-applied
Execute actions in bulk
Execute actions from a CSV file
Onboard and discover APIs faster
Discover the most relevant APIs, collections, docs, and workflows needed to onboard quickly to a new team or organization
Save a request to a new collection
Save the a request into a newly created, well-structured collection
Sync your collections after backend changes
Agent Mode analyzes your backend code updates and syncs all affected requests, tests, and parameters in your collections
Create and commit branch with test coverage
Instantly create a branch with test coverage and send it for review in the same click
Create and assign JIRA ticket for failing endpoints
Automatically create a Jira issue, assigns it to the right person, and includes detailed context
Run all tests and commit results to Git
Agent Mode runs tests, updates configs, and commits results to your Git repository
Detect common API errors and generate suggested fixes
Identify CORS issues, auth failures, rate limiting, missing data, versioning errors, and more - then fix them instantly
Sync backend routes into openapi.yaml
Agent Mode detects new backend routes, documents them, and updates openapi.yaml with examples and tests
Deploy & Operate
Keep APIs reliable and production-ready. Generate Dockerfiles and Kubernetes configs, manage environments, and set up monitors to ensure ongoing performance.
Execute commands inside this Docker container — Debug services without leaving Postman
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.
Run a collection’s CI/CD tests in GitHub
Reduce manual setup and context switch and let Agent Mode run your collection tests directly inside a GitHub CI/CD workflow all from within Postman
Set up automated monitoring for your API
Configure a testable monitor with schedule, alerts, and failure conditions pre-applied
Onboarding
Go from day one to first PR faster. Explore unfamiliar APIs, map dependencies, generate sample workflows, and help teams understand how to use APIs quickly and confidently.
Map all endpoints and generate a dependency map
Sends request, map dependencies, test parameter variations, and logs failures across your entire collection
Send requests in a collection
Execute every request and get summarized responses, headers, params, and behavior to accelerate learning
Onboard and discover APIs faster
Discover the most relevant APIs, collections, docs, and workflows needed to onboard quickly to a new team or organization
Popular Prompts
Generate a Python SDK for your collection
Generate a production-ready Python SDK with built-in error handling, retries, and example scripts
Analyze an API spec and generate a Postman Collection
Converts an API spec into a collection with examples, authorization, and test scripts
Generate endpoint documentation
Agent Mode produces clean, consistent documentation for each endpoint including purpose, parameters, and example responses
Generate an OpenAPI spec from a collection
Agent Mode analyzes your collection and produces a clean, standards-aligned OpenAPI spec
