AI-Powered Salesforce Testing, Shocking Agile Failure Rates, and More TGNS124

Have you seen the study that shows 268% higher failure rates for agile software projects? What automation tool just announced a new AI driven solution for Salesforce Test Automation. And how do you scale with AI? Find out in this episode of the Test Guild News show for the week of June 9th. Subscribe your favorite cup of coffee or tea and let's do this. I get us all the time. Hey Joe, how do I automate Salesforce? Well, here's one new solution you definitely should check out and it's all about Test Sigma's new Salesforce Test Automation. And what's great about the solution is that it's built on top of Test Sigma's gen AI powered low code platform. And this new tool aims to simplify and expediate Salesforce testing, enabling users to automate tests up to 10 times faster than traditional methods, according to Test Sigma. So this platform utilizes a natural language programming engine, allows allowing tests to be written in plain English. So this really helps to simplify and assure that those with limited technical knowledge, especially those with business knowledge that have to deal with Salesforce apps all the time, can now feel comfortable and confident in using these tools to help them with testing. Additionally, Test Sigma leverages Salesforce metadata and APIs to create robust and adaptive test scripts, reducing maintenance and improving reliability. So as you can see, this new Salesforce test automation tool offers a bunch of benefits for testers. So I highly recommend you check it out using the link testguild me testsigma and you can find that link down below. So I'm dying to know what you think about this new study that reveals higher failure rates for agile software projects and it is mind blowing. How much so? Well, let's check it out. So this recent study reveals that software projects using agile methodologies are 268% more likely to fail compared to those that don't. So so this research analyzed responses from 600 software engineers in UK and the US and it found that 65% of agile projects failed to deliver on time and within budgets, whereas only 10% of projects using a new impact engineering methodology failed. The study also highlights the importance of robust requirements, engineering and psychological safety for successful project outcomes. Agile practices such as working without a clear specification and and making significant late stages changes were linked to a lot higher failure rates. But in contrast, clear project requirements and the ability to address problems promptly improved success rates significantly. And according to this article, this approach reduces the risk of defects and late stage changes, ensuring more stable and predictable project outcomes. Is it true? I don't know. Check it out for yourself. Let me know your thoughts in those comments down below. So the King of AI, Tyreek King, just released a new blog post. What's it about? So this article posted on EPOM focuses on the adoption of multimodal test strategies to ensure the quality and reliability of AI systems and Tyrique goes over how multimodal AI as shown by models like GPT4 Turbo involves the use of various forms of data like images, video, text, speech, audio and it makes predictions and draws insights from these. And this approach is providing to be a standard for many organizations. And Tariq also goes over shift left testing if you don't know, which emphasizes addressing quality earlier in the software development lifecycle to minimize late defects. And for AI systems it is crucial to test pre release and conduct post release production testing. So this dual approach outlined in this article ensures ongoing quality and performance in dynamic environments and you can find out more about it in the link down below. So I just saw this next article on LinkedIn posted by Dave Burns and he linked to how Firefox has just deprecated CDP support and is transitioning to WebDriver by die, which I think is a trend that a lot of companies are going to go towards. The announcement goes over that starting With Firefox version 1 to 9 support for Chrome Dev Tools protocol, CDP will be deprecated and users are encouraged to migrate to the W3C WebDriver bidi protocol. So it also goes over how the transition to webdriver Bidi is part of Mozilla's effort to enhance cross browser testing and automation. WebDriver Bidis provides superior features compared to Firefox's experimental CDP implementation, including improved DOM updates, network interception and better logging capabilities. So if you haven't already, you should definitely check out the benefits from the enhanced capabilities of WebDriver bidi because it's a thing that a lot of companies are going to be transitioning to and you could definitely find out more about it in this article. For a deeper dive, I also found Another article on LinkedIn from Abhinavar about GitLab's test platform for teams to validate AI features. So Vincy and Mark share insights for their approach to validating AI. The team uses a blend of automated and manual testing techniques to ensure the reliability and performance of new AI functionalities, and this approach includes vigorous testing protocols, continuous integration practices and synthetic data to simulate real world scenarios. Through a strategic integration of AI into the testing process, the team is able to swiftly identify and resolve potential issues this not only enhances the overall quality and efficiency of the software development lifecycle, but it also underscores the significance of of thorough validation processes and deploying AI driven features. Just another great real world scenario of how a team is testing AI that you might be able to learn from and you can find out more about it in the links down below. I also found a new announcement about an AI code generation tool and this is by Minstrel AI that has introduced CodeStral, which is a new AI driven tool to assist developers and testers in code generation task and it goes over how code still supports over 80 programming language including all the popular ones like Python, Java and C and more niche ones like Swift and Fortran. And the model aims to streamlining not only coding by completing functions, but also helping to write, test and filling in partial code, reducing errors and saving time. And it's currently available for download on Hugging Face under the Mistral AI Non Production license for research and testing and it also integrates with popular development environments like VS Code and JetBrains. And if you have anything to do with Appium and Flutter, you're going to be really excited about this next announcement. So SAI just announced a new open source driver to enhance Appium and Flutter automation and the new open source tool is called Appium Flutter Integration Driver and this was designed to simplify the automation of applications built with Appium and Flutter and and this tool integrates with Appium's powerful automation feature with Flutter's modern app built in capabilities leveraging the Flutter integration test framework it uses Appium. This is great news because testers can now easily automate testing for Flutter applications, reducing manual test time. So I think it's a must checkout driver for all mobile testers that you should be more familiar with and once again you can find that in the links down below. So if you have to deal with enterprise grade pipelines, I have another announcement that you might be excited about. It's how Snowflake has announced new tools and innovations to enhance developers capabilities working with enterprise grade developer pipelines models and AI powered applications, and announced it at its annual user conference. So these updates include Snowflake Notebooks, Snowflake Trail and various DevOps tools all integrated within Snowflake's unified platform and the aim is to simplify development processes and accelerate development of AI applications. And Jeff Holland, the head of application and development platforms at Snowflake talked about how this really is poised to redefine the boundaries of what developers can accomplish with AI data cloud and I also found out this next announcement about AppDynamics on LinkedIn from Rebecca and Rebecca posted a link to how AppDynamics has introduced a Log Observer Connect, which is a new integration with Splunk that enhances log base troubleshooting with Cisco's Full Stack Observability solution. So this integration allows users to centralize log collection and Splunk streamlining the process of identifying and resolving application performance issues. And the unified platform aims to reduce operational costs and improve root cause analysis, and the collaboration leverages Splunk's log analytics to provide more detailed insights into application performance issues, improving the meantime to resolution and last up is an article all about scaling businesses with AI in the hybrid cloud. So this was posted by Arvin IBM CEO which announced a significant advancement in AI and hybrid cloud solutions at the IBM Think 2024 event. And it goes over how the company is open sourcing its powerful AI models, the Granite family on hugging face and GitHub under Apache 2 license and these models are designed to push the boundaries of AI capabilities. And and it also goes over how IBM introduced a suite of new WatsonX assistants powered by Granite to enhance productivity and streamline operations and this includes tools for coding, deploying custom AI assistance and improving interactions with mainframe systems. All right, for links of Earth and value we covered in this news episode, head on over to the links in that comment down below. So that's it for this episode of the Test Skill News Show. I'm Joe. My mission Help you succeed in creating end to end Full Stack pipeline automation awesomeness. As always, test everything and keep the good Cheers.