Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Integrations

Supercharge 0CodeKit with Relevance AI

PractiTest is a comprehensive test management tool that helps teams manage their testing processes effectively. With Relevance AI, you can elevate your testing strategies by leveraging AI Agents to automate workflows and gain deeper insights from your test data.

Give your AI Agents 0CodeKit Superpowers

PractiTest streamlines test management with robust tracking and reporting features. Relevance AI amplifies these capabilities by enabling intelligent automation and AI-driven insights that enhance decision-making and efficiency.

Intelligent Test Orchestration

The AI agent dynamically prioritizes and schedules tests based on historical data and risk patterns for optimal execution efficiency.

Predictive Quality Insights

Leverages machine learning to analyze test results and predict potential quality issues before they impact production.

Real-time Adaptation

Continuously adjusts testing strategies based on emerging patterns and changing project requirements.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates with PractiTest to enhance your test management workflows.

0codekit - Compress PDF
A tool for compressing PDF files by providing a URL to the source PDF and specifying the output filename, helping reduce file sizes while maintaining document quality
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
Name
0codekit API Call
Description
Make an authorized request to a 0codekit API
Parameters
["OAuth Authentication", "Multiple HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Support", "Response Status Tracking"]
Use Case
A software development team uses 0codekit API Call to automate their deployment process by making authenticated API requests to trigger builds and updates across their infrastructure. This integration streamlines their CI/CD pipeline by enabling secure, programmatic access to their development resources.

Security & Reliability

The integration between PractiTest and Relevance AI streamlines your test management workflows through secure OAuth authentication, ensuring that only authorized processes can access your PractiTest data. Relevance AI automates API operations (such as creating test runs, managing requirements, and handling custom fields) in the background, allowing you to focus on your testing without worrying about errors, formatting, or API limits.

With built-in validation and type conversion, this integration guarantees that your workflows operate smoothly, even when dealing with varying data formats. Key features include automated test run creation, requirements tracking, and custom field mapping, all designed to enhance your testing efficiency.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the 0CodeKit + Relevance AI integration without writing code:
  • Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
  • Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
  • Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
  • Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
  • Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.