Frequently Asked Questions

Coco TestAI is an AI-powered QA copilot that transforms user stories into comprehensive test cases, test steps, and executable automation code. It uses a 3-stage workflow to minimize AI hallucinations and ensure tests align perfectly with requirements. The Chrome extension reads stories from any browser page—Jira, Linear, Asana, GitHub, or custom tools—with zero API setup required.

Coco is built for modern engineering teams: QA engineers who want to accelerate test creation, developers who need reliable tests before deployment, and tech leaders who want faster releases without quality compromise. It supports both manual and automated testing workflows, making it valuable for hybrid teams.

Generic AI tools generate everything in one shot—high hallucination risk and no review points. Coco uses a 3-stage workflow (Test Cases → Steps → Code) where AI focuses on one stage at a time and you review at each step. This progressive generation minimizes AI hallucinations, provides complete traceability, and ensures tests align with requirements. Plus, Coco's Chrome extension automatically pulls story context from your browser—no manual copy-paste required.

Coco's 3-stage workflow prevents AI hallucination by focusing generation and providing review gates:

• Stage 1 - Test Cases: AI analyzes the user story and generates comprehensive test cases (positive, negative, edge cases). You review and edit before proceeding.
• Stage 2 - Test Steps: For each test case, AI generates detailed, actionable steps. Steps are usable for manual testing or code generation. You review and refine.
• Stage 3 - Code Generation: Export test steps as executable code in your preferred framework and language. Code matches steps exactly—complete alignment from requirement to execution.

This staged approach ensures AI focuses 100% of its output capacity per stage, with human validation at each gate.

Book a 15-minute demo to see Coco in action with your actual stories and codebase. We'll walk through the 3-stage workflow, answer questions, and discuss how Coco fits your team's needs. After the demo, our team will configure the Chrome extension and link your first repository for you through white-glove onboarding. You'll be generating tests the same day with our guidance.

No formal training required—Coco is designed to be intuitive. The 15-minute demo covers the full workflow. We provide documentation, video tutorials, and in-app guidance. Most teams are productive within their first session. For enterprise customers, we offer onboarding sessions and ongoing support.

All customers receive email support with 24-hour response time. Paid plans include priority support with faster response times. Enterprise customers receive dedicated support channels, onboarding assistance, and optional SLA guarantees. We also maintain comprehensive documentation and video tutorials.

Minimal requirements: Chrome or Chromium-based browser, internet connection, and access to a Git repository. Coco works on Windows, macOS, and Linux. No special hardware or infrastructure needed—it's a browser extension with cloud-based AI processing.

Same day with white-glove onboarding. After booking a demo, our team configures the Chrome extension and links your Git repository for you. Coco analyzes your codebase in a few hours (depending on size), then you can start generating context-aware tests with our guidance. Traditional tools require 2 weeks of setup and vendor integration cycles—Coco gets you started the same day with expert support.

The extension reads user stories from any browser page in real-time using DOM parsing. It works with 50+ tools including Jira, Linear, GitHub Issues, Asana, Azure DevOps, Monday.com, Notion, ClickUp, Trello, and custom internal tools. No integrations or API configurations needed—if it's visible in your browser, Coco can read it.

Linking your Git repository provides codebase context to the AI. This enables Coco to generate tests that match your existing architecture, conventions, and patterns. Tests aren't generic templates—they're tailored to your specific project. You link the repository once during setup, and Coco analyzes it to understand your codebase structure.

Yes. Coco uses read-only access to your Git repository for analysis. The Chrome extension reads stories from your browser locally—no data is sent without your explicit action. All AI processing uses secure connections, and we do not store your proprietary code. Your generated tests remain in your control, exportable to your local environment or CI/CD pipeline.

No—Coco works with your existing framework. It generates tests; you run them in your existing CI/CD pipeline. Export code in Selenium, Playwright, Cypress, TestCafe, or Puppeteer. Choose Python, Java, JavaScript, TypeScript, or C#. Code includes framework-specific waits, assertions, and error handling. Coco enhances your current workflow—it doesn't replace it.

Coco generates 360° coverage: positive cases (happy path), negative cases (error conditions, invalid inputs), and edge cases (boundary conditions, rare scenarios). You can generate tests for the entire user story or per individual acceptance criteria for granular traceability. The AI systematically identifies scenarios based on requirements and codebase analysis—not generic templates.

During story grooming, before code exists. This is Coco's unique advantage: create tests first to enable test-driven development. By generating comprehensive test cases from user stories before development starts, you enable TDD and improve quality from day one. Internal testing shows significant reduction in post-development defects using this story-first approach.

Yes—edit at every stage. In Stage 1, edit test cases via direct text editing or chat with AI to refine. In Stage 2, add, delete, or regenerate test steps. In Stage 3, export code and modify it in your IDE like any other code. Coco provides the foundation; you have complete control over the final output.

Coco supports all major testing frameworks:

• Frameworks: Selenium, Playwright, Cypress, TestCafe, Puppeteer
• Languages: Python, Java, JavaScript, TypeScript, C#
• Code Quality: Framework-specific waits, assertions, error handling, and best practices included

Select your preferred framework and language during export—Coco generates optimized code for that specific combination.

By analyzing your linked Git repository, Coco understands your project's architecture, naming conventions, component structure, and existing patterns. Generated tests reference actual selectors, follow your coding standards, and match your project's organization. This produces tests that integrate seamlessly—no generic boilerplate that requires heavy modification.

Absolutely. Test steps generated in Stage 2 are detailed, actionable, and ready for manual execution. Teams with hybrid workflows (manual + automated) use Coco to create comprehensive test cases and steps, then decide per-test whether to execute manually or generate automation code. This provides consistency across both manual and automated testing.

Yes. If a user story or acceptance criteria changes, regenerate test cases and steps instantly. Edit specific test cases or steps via chat without regenerating everything. This makes test maintenance as fast as initial creation—update requirements, regenerate tests, export new code.

ChatGPT generates everything in a single prompt—no staged review, high hallucination risk, and no traceability. Coco's 3-stage workflow focuses AI output per stage and provides review gates at each step. Additionally, ChatGPT requires manual copy-paste of stories and codebase context; Coco's Chrome extension and Git integration automate this through white-glove onboarding. Finally, ChatGPT provides no team collaboration or project organization—tests live in individual chat sessions.

Traditional tools require 2 weeks of API setup, vendor negotiations, and IT approval. Coco gets you started the same day with simple Git integration. Traditional tools test code after development—reactive and expensive. Coco tests requirements during grooming—proactive and cost-effective. Traditional tools rely on record-and-playback or manual creation. Coco uses AI to generate comprehensive test coverage systematically.

GitHub Copilot and similar tools generate code from inline prompts or comments—they're designed for developers writing application code. Coco is purpose-built for QA workflows: it reads requirements, generates test cases and steps first, then exports framework-specific test automation code. Copilot has no understanding of test strategy, coverage analysis, or requirement traceability. Coco provides end-to-end test workflow from story to executable code with validation at every stage.

Manual test creation takes hours or days per feature. Coco generates comprehensive test cases and steps in minutes. Manual testing coverage depends on individual tester experience—edge cases are often missed. Coco systematically identifies positive, negative, and edge cases. Manual tests are reactive—written after code exists. Coco enables proactive testing during story grooming before development starts.

Pricing is customized based on your company's needs and team size. We offer flexible plans for small teams, growing companies, and enterprises. Contact us for a personalized quote—we'll discuss it during a 15-minute demo where we show exactly what Coco TestAI can do for your team.

We offer a personalized demo where you can see Coco in action with your actual user stories and codebase. During the demo, we'll walk through the full workflow and discuss trial options based on your team's needs. Book a 15-minute demo to get started.

Coco uses usage-based pricing—pay only for what you use. No per-seat licenses. This means you can add unlimited team members at no extra cost. Pricing is customized based on your usage patterns and team size. Contact us to discuss pricing for your organization.

Yes. Enterprise plans include dedicated support, on-premise deployment options, custom integrations, advanced security features, and SLA guarantees. Contact us to discuss enterprise requirements.

Coco provides project-based organization: each project groups repositories, stories, tests, and AI conversations together. Create teams within your organization, add members with role-based permissions (Admin, Editor, Viewer), and collaborate on shared test suites. Team members can review, edit, and build on each other's work.

Role-based access control ensures appropriate permissions:

• Admin: Full access—create/delete projects, manage team members, configure repositories
• Editor: Create and modify tests, generate code, manage stories within assigned projects
• Viewer: Read-only access—view tests and conversations, export code, but cannot modify

Yes. Tests created within a project are accessible to all team members with appropriate permissions. Share entire test suites, specific test cases, or generated code. Team members can build on existing tests, add new scenarios, or export code in their preferred framework.

Yes. Create separate projects for different products, repositories, or teams. Each project maintains its own Git repository link, stories, tests, and team members. Switch between projects seamlessly—Coco maintains context per project.

The Coco extension is available for Chrome and Chromium-based browsers (Edge, Brave, Opera). Firefox and Safari support is planned for future releases.

Yes. Coco supports private repositories on GitHub, GitLab, Bitbucket, and Azure DevOps. You'll authenticate once during setup, and Coco maintains read-only access for codebase analysis. All connections use secure protocols, and we do not store your code.

No. Coco requires an internet connection for AI-powered test generation. However, once tests are generated and code is exported, you can work with them offline in your local environment or CI/CD pipeline.

API access is available for enterprise customers who want to integrate Coco into custom workflows or CI/CD pipelines. Contact us to discuss API requirements and use cases.

Your codebase is stored securely with read-only access for context-aware test generation. Generated tests and content are stored automatically as long as your account is active. For data export or deletion (including code and customer data), contact support. Exported code lives in your local environment—Coco does not retain copies after export.

Test case generation (Stage 1) typically takes 10-30 seconds depending on story complexity. Test steps (Stage 2) generate in 5-15 seconds per test case. Code export (Stage 3) is near-instant—templates are applied to validated steps. Total workflow from story to executable code: 2-5 minutes for a typical feature.

Coco uses enterprise-grade LLMs with secure API integration. All communications are encrypted in transit using TLS 1.3.

Your code and test data are encrypted at rest and in transit. Customer data is logically isolated—your organization's data is never mixed with other customers' data. We use secure credential handling via AWS services. Your data is never used for model training by Coco or our LLM providers.

Coco uses a transparent 3-stage progressive workflow where AI focuses on one specific task at a time:

• Stage 1 - Test Case Generation: AI analyzes your user story + codebase context → generates comprehensive test cases (positive, negative, edge cases)
• Stage 2 - Test Steps Generation: AI takes your validated test cases → generates detailed, actionable test steps
• Stage 3 - Code Generation: AI takes your validated steps → generates framework-specific executable code

At each stage, you review and approve before proceeding. No black boxes—you see exactly what the AI generates and can edit via direct text or chat before moving forward.

Yes. Customer data is logically isolated at the database and application layers. Encryption at rest (AES-256) and in transit (TLS 1.2+). Role-based access control ensures team members only see data they're authorized to access. Your tests, code, and conversations remain private to your organization.