Generate

AI-Powered Pseudocode and Test Scripts Generator Within Azure DevOps

Use AI to generate pseudocode and test scripts directly from Azure DevOps work items to move faster without leaving your workspace.

Trusted by the world’s leading businesses

Writing code and test scripts manually? There’s a better way to write with AI

The old way

  • I read the work item and write pseudocode manually from scratch.
  • I write test scripts by reading acceptance criteria line by line.
  • I clean up the AI-generated code to match team standards.
  • I switch tools when I need better output quality.

The new way with Generate

  • I open the work item and Generate creates structured pseudocode for me inside Azure DevOps.
  • I generate test scripts directly from the work item using my chosen framework.
  • I add custom instructions while generating code, so the output already follows our internal guidelines.
  • I change the AI model and regenerate without leaving the workspace.

Generate in action: From requirement to code

The Generate feature in Copilot4DevOps harnesses AI to transform Azure DevOps work items into executable code artifacts. From a plain-language user story or requirement, it can automatically produce pseudocode in multiple programming languages or automated test scripts without manual effort.

  • Users select a work item in Azure DevOps and use Generate to produce pseudocode or test scripts in a chosen language.
  • The tool instantly returns code-style output based on the selected work item.
  • Prompts can be customized to control language, style, comments, explanations, or company-specific conventions.
  • Generate helps teams translate requirements into code logic and tests early in the process.
  • Overall, it bridges planning and development, accelerating the path from requirements to implementation.
Role-based view

How AI code generation simplifies work for every job role

Software Developers

Use Generate to write pseudocode or boilerplate code in the required programming language, such as Python, C#, JavaScript, React, etc., based on existing Azure work items. With this, developers don’t need to start from scratch.

QA Testers

Create test scripts in your preferred framework, including Selenium, PyTorch, Playwright, etc., based on existing Azure work items’ acceptance criteria.

Automation Engineers

Turn functional requirements into usable code blocks using an AI. This helps in writing code that aligns with the requirements.

Product Managers

Convert the feature description into a readable pseudocode that helps teams in validating the requirements scope early and confirm whether the requirements are clear enough before any development starts.

Scrum Masters

Use Generate to write pseudocode from user stories and provide proper context about development work, technical steps, logic, etc., to developers. This removes guesswork, reduces confusion, and improves sprint planning.

DevOps Engineers

Prepare deployment-related scripts by providing deployment tasks as a context to AI.

Release Managers

Use Generate to create test or validation scripts for release readiness checks, ensuring critical scenarios are documented and reviewed before moving changes to production.

Security Engineers

Develop test scripts based on predefined security-related Azure work items.

System Architects

Quickly outline the system behavior in pseudocode using an AI. This helps system architects to review flow consistency and dependency impact before teams commit to detailed design.

Support Engineers

Use Generate to understand feature behavior through generated logic or tests. This helps support engineers to troubleshoot issues using the same work items developers rely on.

Core capabilities

Generate module at a glance

Multiple programming language support

Need to generate pseudocode in a specific programming language?

Generate allows you to choose between multiple common programming languages, including C, C++, Java, Python, JavaScript, SQL, etc., or define a custom language that fits your project needs.

Generate test scripts in any framework

Using a specific testing framework or internal setup?

You can generate test scripts by selecting a known framework or entering a custom one, so the output aligns with how your QA team already writes and runs tests.

Supports custom instructions

Want to generate code that follows your internal standards?

Add custom instructions so code or test script output matches the internal coding styles and standards, and teams don’t need to put extra effort into cleaning up code.

Flexibility to select LLM models

Didn’t get a satisfactory response?

Switch between existing LLMs to get a better response with clear steps or outputs that match complex work items.

Copy and share

Want to share code output with team members?

Use the copy button given at the bottom right corner and paste it into documents, code IDEs, Azure work items, or any other external tools.

Publish within Azure work items

Want to keep everything inside Azure DevOps?

You can either publish the generated code or test script into any field of an existing work item or create a new work item with the generated response and link back to existing work items.

Top use cases in different industries

  • As a backend developer, I want to use AI to draft logic for premium calculation that follows IRDAI pricing rules from policy requirements directly within Azure DevOps.
  • As a QA tester, I want to generate test scripts for claim submission errors and retry scenarios that meet PCI DSS security testing expectations.
  • As a data engineer, I want to use AI to prepare processing logic for claims data cleanup and validation.
  • As a DevOps engineer, I want to prepare deployment checks for nightly policy processing jobs based on Azure DevOps work items.
  • As a clinical system engineer, I want to generate a logic flow for tracking who accessed which record and why to ensure the platform is HIPAA compliant.
  • As a backend engineer, I want to write Python code to encrypt patient data according to HIPAA standards.
  • As a QA specialist, I want to generate test scripts for consent flows and access restrictions in Selenium.
  • As a firmware developer, I would like to generate code for device data capture and sync in C++ based on the requirements mentioned in the Azure DevOps work item.
  • As a grid operations engineer, I want to use AI to draft outage‑detection and escalation logic that aligns with NERC reliability and CIP cybersecurity requirements.
  • As a QA lead, I want to prepare test scripts for testing bugs noticed on meter‑reading inconsistencies that the development team has recently fixed.​
  • As a billing systems developer, I want to prepare flow logic for usage-based pricing from given features.
  • As a fraud analyst, I want to write pseudocode in the Go language to detect suspicious activities that show sanctions lists to satisfy BSA/AML and SAR reporting expectations.​
  • I want to use AI to generate test scripts in the PyTorch framework to test the online payment system.​
  • As a front-end developer, I want to prepare a user account opening form in HTML and CSS.
  • As a flight systems engineer, I want AI to write logic for deterministic control sequences that enforce timing and fail‑safe states consistent with DO‑178C Level A software assurance.​
  • As an embedded software developer, I want to generate flow logic in C++ for real-time signal handling.
  • As a verification engineer, I want to write test scripts for user stories related to mission‑critical features of aircraft.
  • I want to write PHP code for API rate limits and error handling from existing user stories that comply with ISO 27001 and SOC 2 security requirements.​
  • As a test engineer, I want test scenarios for backward compatibility that validate versioned APIs' confidentiality controls expected under SOC 2.​
  • As a release engineer, I want AI to generate deployment scripts for the next release.
  • As a developer, I want to prepare the pseudocode for route locking and release conditions that enforce fail‑safe states and interlocking rules aligned with EN 50128 and EN 50129 safety requirements.​
  • As a safety assessor, I want AI to write test scripts for the emergency braking feature.
  • As a maintenance systems analyst, I want processing logic for fault reports that classifies, prioritizes, and traces defects back to safety‑related components to support EN 50128‑compliant lifecycle documentation and safety cases.​
  • As a vehicle software engineer, I want to write code in PHP for communication handling that aligns with the ISO 26262 standard.
  • As an automotive system safety engineer, I need to generate test scripts to check ADAS systems and need to add them to the relevant Azure DevOps work items.​
  • As a manufacturing systems engineer, I want validation logic for ECU flashing that verifies image integrity, version compatibility, and safe rollback to support ISO 26262‑compliant production and configuration control.​
  • I want to use AI to generate React code for form validation based on the WCAG 2.1 AA requirements for government digital services under ADA‑style obligations.
  • Write code in Java for citizen identity verification workflows that enforce strong authentication, encryption, and logging aligned with NIST 800‑53 access‑control requirements.
  • I want to generate test scripts for record retention and audit tracking related Azure DevOps work items that verify evidence of creation, access, and deletion to meet GDPR‑compliant public‑sector records and FOI obligations.​
Core capabilities

Generate module at a glance

Multiple programming language support

Need to generate pseudocode in a specific programming language?

Generate allows you to choose between multiple common programming languages, including C, C++, Java, Python, JavaScript, SQL, etc., or define a custom language that fits your project needs.

Generate test scripts in any framework

Using a specific testing framework or internal setup?

You can generate test scripts by selecting a known framework or entering a custom one, so the output aligns with how your QA team already writes and runs tests.

Supports custom instructions

Want to generate code that follows your internal standards?

Add custom instructions so code or test script output matches the internal coding styles and standards, and teams don’t need to put extra effort into cleaning up code.

Flexibility to select LLM models

Didn’t get a satisfactory response?

Switch between existing LLMs to get a better response with clear steps or outputs that match complex work items.

Copy and share

Want to share code output with team members?

Use the copy button given at the bottom right corner and paste it into documents, code IDEs, Azure work items, or any other external tools.

Publish within Azure work items

Want to keep everything inside Azure DevOps?

You can either publish the generated code or test script into any field of an existing work item or create a new work item with the generated response and link back to existing work items.

Clear gains you get with the AI pseudocode writer

Save 30 to 40% development time

Development and testing teams don’t need to start writing code and test scripts from scratch, which saves time and boosts their productivity.

Enforces compliance

A tool generates code and test scripts in such a way that it follows the mentioned compliance, helping teams to build a system that is safe.

Find gaps early

By turning requirements into logic or tests early, teams spot gaps in flows, validations, or edge cases before development begins.

Improved consistency across teams and sprints

Generated output follows a similar structure each time, reducing variation when multiple engineers work on similar features.

FAQ

Your Questions are Answered Here

Will Generate respect my corporate security policies?

Yes, the Generate module is part of Copilot4DevOps and runs only within your Azure DevOps tenant. It honors existing permissions and access control policies already in place in your workspace.

Whatever pseudocode or test scripts are generated, those stay linked to relevant work items, which helps teams in showcasing traceability from requirements to validation during preparing audit reports and reviews.

Yes, you can open Copilot4DevOps directly from any Azure work item and access Generate to write pseudocode or a test script for any work item without switching between tools.

Our tool, Copilot4DevOps, is SOC Type II certified, which means it doesn’t expose customer data or get used to train models.

You can provide specific work items as a context to the Generate features, and AI analyzes only those work items’ context. This way, you can keep sensitive data out of AI processing.

Yes, the tool is built to be used in highly regulated industries, such as healthcare, finance, government, banking, etc., and it generates codes and test scripts according to industry standards, such as HIPAA.

Often, yes. If you are missing any point in the requirements, Generate might add in pseudocode so your development teams don’t miss those points.

Yes, it allows the generation of test scripts in different frameworks using an AI that validates boundary conditions and common surfaces as defined by work item acceptance criteria.

No. It inherits Azure DevOps security and follows established tenant governance, so no extra certificates are required.

Yes. You can provide deployment tasks as a reference to AI, and it can help you to write deployment scripts.

Generate is used to prepare an initial draft of the code. It helps developers speed up development tasks rather than replacing them. So, we recommend always reviewing the code generated by the Generate module before directly pushing it into production.

Bring AI Psuedocode writer into your DevOps flow

Start generating structured pseudocode and test scripts directly from your Azure DevOps work items, so your team spends less time drafting and more time building.

Want to Learn More?

Explore Relevant Features

Marketing Management

Elicit

Turn raw input into usable requirements


Draft test cases, functional and non-functional requirements, compliance checklists, deployment tasks, user stories, etc., using an AI from raw inputs, meeting notes, or existing requirements, and insert them within Azure DevOps.

Brand Assets

Diagram

AI to generate requirements diagrams


Generate different types of diagrams within seconds to clearly visualize the requirements flow directly within your Azure DevOps workspace. Then, you might use Generate to prepare a code based on the diagram flow.

Plans & Budget

AI Chat

Interact with Azure work items using natural language


Type a prompt in plain English to list all required Azure work items. Then you may ask follow-up questions, create a workflow diagram based on multiple requirements, generate pseudocode or test scripts, or update work items using an AI.