Will AI make testers' jobs obsolete? This is a common concern, so is it valid? Rafael E. Santos has good advice for testers: If you're worried about AI, imagine this realistic future: More testing in the same amount of time. If you feel like you always need more time to test, AI testing tools like Testaify will help you run more tests. You'll have more time to design the test cases that have been on the back of your mind. When that's done, there's still time left over for exploratory testing. See how here: https://lnkd.in/edryatQB
About us
EVERYONE IS PRAYING FOR QUALITY. Developing software is complex, and writing code is hard. Developers must navigate multiple frameworks and services to develop even simple applications. No matter how good the software developer is, the code always has errors, omissions, contradictions, or dead-ends. These errors are called defects. Fixing defects ensures you don’t annoy your current user base, but it doesn’t attract new users. It takes a pipeline of new features and capabilities to build customer loyalty, drive software price increases for better margins, and ensure market fit. To combat defects, all software development organizations do some form of testing because testing is critical to product quality. But there’s a big problem: testing is broken. Testaify addresses testing’s real problem — poorly designed tests — by transitioning test creation and execution to AI. AI natively understands all testing methodologies and writes more tests much faster, freeing resources for additional development. Machine learning delivers an unparalleled capacity to adapt to incremental changes in the software’s code and will quickly overcome the learning curve, reducing potential false positives. AI isn’t limited by regular work hours or how well the tester documented changes to their test inventory in their test case management solution. Product quality will improve as defects are found and resolved more quickly. Feature development and releases will accelerate. Great testers, which we call system thinkers, will understand what the AI is doing and why. They will validate found issues and help train the AI system to maximize its value. These resources will pick up their crowns as the Beekeepers of the Testaify hive. For too long, the system thinkers, who know the application in and out, have been forced to do or learn skills that are not their core competency. With Testaify, they are back at the center doing what they do best: managing the testing process.
- Website
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www.testaify.com
External link for Testaify, Inc.
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- Miami, Florida
- Type
- Privately Held
- Founded
- 2023
- Specialties
- Software Testing, Artificial Intelligence, Machine Learning, AI, Functional Testing, Software Development, Shift Left, Product Quality, Continuous Testing, Agile Development, Testing, QA, Quality Assurance Testing, Quality Assurance, and Agile
Locations
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Primary
25 SE 2nd Ave Ste 550-670
Miami, Florida 33131, US
Employees at Testaify, Inc.
Updates
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How has integration testing changed through the advent of Agile? How will it change with AI/ML? Why are customer feedback and requirements so crucial to integration testing? Find out in the conclusion of Rafael E. Santos' blog, From Theory to Practice: The Changing Landscape of Integration Testing, as he considers the answers to these questions. https://lnkd.in/e9ty8w8v
Agile and the Increased Importance of Integration Testing
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With the new year looming, some people start thinking about their career goals. If you work in tech, you know many strong personality types dominate. Here's a repost of some good advice on how to deal with five executive personality types (and when to run!): https://lnkd.in/gaGgAxyU
Handling Five Different Executive Personalities in Testing | Testaify
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Agile revolutionized software development, and 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 became a cornerstone of modern QA. But even with its popularity, it remains one of the most challenging aspects of testing to define and implement effectively. In his latest blog, Rafael E. Santos analyzes the evolving definition of integration testing and explores: • Why defining boundaries for integration testing is crucial • The historical and cultural challenges QA teams face • How modern tools and practices are reshaping this essential testing level Whether you're dealing with modern cloud-based APIs or navigating legacy systems, integration testing ensures stability where unit and system tests leave gaps. https://lnkd.in/eXgMw5Jr
The Changing Landscape of Integration Testing | Testaify
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What does your QA process look like? Is it a work in progress? You probably have a mental placeholder for AI/ML. But how will artificial intelligence inform your process? What will change? What will stay the same? In this new blog, we walk through the five fundamental steps of building a Quality Assurance Process and then analyze how Testaify's AI autonomous testing platform will overlay, reimagine, or support the work. [All without writing automation test scripts. Or doing your own web app discovery. Woot!] https://lnkd.in/e-zjMfrh
How to Build a QA Process with Testaify | Testaify
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𝗪𝗵𝗮𝘁'𝘀 𝘁𝗵𝗲 𝗥𝗢𝗢𝗧 𝗖𝗔𝗨𝗦𝗘 𝗶𝘀𝘀𝘂𝗲 𝗮𝗳𝗳𝗲𝗰𝘁𝗶𝗻𝗴 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝘁𝗲𝘀𝘁𝗶𝗻𝗴? Are these principles truly principles, or merely a starting point? How will the so-called "Seven Software Testing Principles" intersect with AI/ML innovation? In this blog series, which we've published over the last three weeks, Rafael E. Santos explains each software testing principle. Then, he performs a reality check to help you think critically about these seven assumptions. Finally, Rafael defines the true issue holding testing back and pinpoints the solution. If you leverage the Seven Software Testing Principles, you're off to a great start, but there's more to do. 𝗧𝗵𝗶𝘀 𝗯𝗹𝗼𝗴 𝗶𝘀 𝗮 𝗠𝗨𝗦𝗧-𝗥𝗘𝗔𝗗 𝗳𝗼𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘁𝗲𝗮𝗺𝘀 𝗮𝗻𝗱 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻 𝗾𝘂𝗮𝗹𝗶𝘁𝘆, 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗴𝗿𝗼𝘄𝗶𝗻𝗴 𝘁𝗵𝗲𝗶𝗿 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 𝗯𝗮𝘀𝗲. https://lnkd.in/e_Dc6HHf
Intersecting Software Testing Principles & AI/ML Innovation | Testaify
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Over the past two weeks, Rafael E. Santos has walked us through the seven software testing principles and started the reality check. In today's post, he completes the reality check, digs deeper into how AI/ML will impact testing principles, and pinpoints the fundamental challenge in software testing. Do you know what it is? Do you agree? https://lnkd.in/eUZj6_Sz
Let's Complete the Seven Software Testing Principles Reality Check (Part 2)
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Last week, Rafael E. Santos reviewed the "seven" software testing principles. How will these principles be affected by AI/ML? In this post, Rafael begins a point-by-point reality check. If you've been on the fence that AI/ML won't make a significant impact on software testing, this series is for you. https://lnkd.in/eQezrsKK
Starting the Testing Principle Reality Check (Part 1)
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There are seven software testing principles. Is that true? Or are they just a starting point? In Rafael E. Santos' new blog, Rafael reviews these principles and then asks a critical question: "Are these principles truly fundamental truths that guide our approach to software testing, or are they simply observations and advice?" What do you think? https://lnkd.in/er9Tb_Pe
Intersecting Software Testing Principles & AI/ML Innovation | Testaify
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Who doesn’t love a good rant, especially when it goes after a buzzword (buzz trend) or three? In this new, potentially polarizing blog, our COO, Rafael E. Santos, portends the death of agile through the repackaging of ideas. What ideas? You’ll have to dive in. #agile #agileisdead #longliveagile #softwaredevelopment #sdlc https://lnkd.in/eA4NmY-X
The Death of Agile Through Repackaging of Ideas
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