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... 11:18
I used AI to write tests for my .NET application... Here's what happened

Milan Jovanović

1+ months ago 3K views

This video demonstrates how to utilize AI, specifically Cursor, to generate unit tests, integration tests, and functional tests for a .NET application. The presenter showcases a project called 'Run Tracker' based on clean architecture, outlining its endpoints and use cases. The video emphasizes the importance of having a well-structured test project to maximize AI capabilities in test case generation while also detailing how the Cursor IDE enables efficient integration with language models. By running existing test cases, the presenter confirms their functionality before leveraging AI for further test generation.
06:16 - 06:46

AI occasionally makes mistakes, requiring manual prompting for corrections.

Machine Learning Education
... 56:4
API Testing Using Generative AI - End To End API Automation In Minutes With TestRigor

Mukesh otwani

1+ months ago 1K views

API testing can be automated using generative AI without writing code, allowing users to automate end-to-end API scenarios and integrate various functionalities efficiently. Test Trigger facilitates the automation of mobile, web, and mainframe applications, enabling users to create comprehensive test cases that leverage dynamic data in requests. The session demonstrates creating, updating, and deleting API calls using various AI-driven features, while addressing user queries related to automation challenges, best practices, and the capabilities of test trigger software in significant detail.
04:11 - 04:20

Showcasing automated token generation and validation in test cases.

TestRigor Machine Learning Tech & Hardware
... 11:48
One AI Tool To Revolutionize Product Teams! Tempo Labs Overview

AI Tooltip

1+ months ago 2K views

Tempo Labs is an AI coding tool that streamlines the product development process from requirements gathering to production-ready code. It allows designers, even those without coding experience, to create functional designs and collaborate seamlessly with developers. The tool generates product requirement documents, flowcharts, and necessary code for applications using the advanced Claude 3.7 model. It enables real-time design edits and component management, enhancing team collaboration and control over project outcomes. The tool also integrates with GitHub and databases like Supabase, making it a powerful asset for modern product teams.
01:42 - 02:06

AI generates product requirements and flowcharts, streamlining the development process.

Tempo Labs Machine Learning AI Startups
... 46:2
AI Agents & Strategies to Scale & Speed Up Digital Testing

Pcloudy

1+ months ago 1K views

AI agents are transforming digital testing by automating the testing process, allowing for faster execution and reduced maintenance efforts. The introduction of platforms like PCloudy’s Q Pilot enables users to leverage natural language inputs for test case generation, which enhances efficiency and accuracy. These agents not only streamline functional testing but also contribute to continuous monitoring in production environments, detecting anomalies and performance issues in real-time. The evolution towards high-agency AI allows for more complex and autonomous operations across various testing scenarios, emphasizing AI’s integral role in modern QA methodologies.
08:42 - 08:48

AI agents perform dynamic decision-making in digital environments.

Machine Learning Research & Innovations
... 1:5:21
TDD and Generative AI – A Perfect Pairing?

IntelliJ IDEA, a JetBrains IDE

1+ months ago 2K views

The session delves into test-driven development (TDD) and its integration with AI tools for code generation, emphasizing how writing tests first can improve code reliability. By leveraging AI, specifically through a model that generates implementations based on unit tests, developers can streamline their coding workflow. The discussion covers the potential and challenges of pairing TDD with AI, where human oversight remains crucial for ensuring the quality of generated code. The speaker presents practical examples and shares insights derived from personal experiences with the proposed approach.
03:40 - 04:05

AI coding tools' capabilities in generating tests from implementations explained.

Machine Learning Education
... 15:39
#1- Automate TestCases Without Code Using Generative AI-based Test Automation Tool | TestRigor

Mukesh otwani

1+ months ago 1K views

Testing is evolving with the integration of generative AI, allowing users to automate test case writing without coding. Traditional automation tools require programming knowledge, but generative AI simplifies this process, enabling the creation of executable test cases in plain English. Using tools like Test Trigger, scenarios can be described and automatically converted into tests runnable across different platforms and browsers. This approach not only reduces maintenance time but also integrates seamlessly with existing CI/CD tools, ensuring that security standards like GDPR and CCPA are met, making it easier for teams to implement effective test automation.
01:30 - 01:45

Test Trigger automates test generation and execution using plain instructions.

TestRigor Machine Learning Education
... 45:54
Future of Software Testing & Jobs in 2025 | QA Career Tips, AI Impact| RD Automation Learning

RD Automation Learning

1+ months ago 1K views

The video features an in-depth conversation with Bries, a leader in the testing community, discussing the evolution of software testing, the importance of community support, and the balance between human intelligence and AI in testing. Bries elaborates on the Test Chat Community's origin, emphasizing the necessity for testers to understand both AI tools and traditional testing methods. Key insights cover the role of effective communication, storytelling in testing, and practical advice for newcomers, highlighting that a strong foundation in testing principles combined with modern tools is vital for success in the evolving software landscape.
Machine Learning Education
... 9:39
Mutation Testing, Playwright CLI, AI Test Agent and More

Automation Testing with Joe Colantonio

1+ months ago 1K views

Mutation testing is a powerful technique for evaluating the effectiveness of software tests by introducing small changes in code to identify gaps in test coverage. The advantages of this approach include enhanced test reliability and improved defect detection. Additionally, tools like Playwright CLI Select streamline test execution and management, while AI technologies such as Zap Test AI and Friday help automate various testing processes, further contributing to efficiency and quality assurance in software development. The video also highlights the importance of integrating exploratory testing to uncover hidden defects and adapt testing strategies to project-specific needs.
07:00 - 08:01

Prom Bright automates browser workflows using AI for effective testing solutions.

Machine Learning Education
... 9:39
Mutation Testing, Playwright CLI, AI Test Agent and More

Automation Testing with Joe Colantonio

1+ months ago 1K views

Mutation testing is a powerful technique for evaluating the effectiveness of software tests by introducing small changes in code to identify gaps in test coverage. The advantages of this approach include enhanced test reliability and improved defect detection. Additionally, tools like Playwright CLI Select streamline test execution and management, while AI technologies such as Zap Test AI and Friday help automate various testing processes, further contributing to efficiency and quality assurance in software development. The video also highlights the importance of integrating exploratory testing to uncover hidden defects and adapt testing strategies to project-specific needs.
07:00 - 08:01

Prom Bright automates browser workflows using AI for effective testing solutions.

Machine Learning Education