NAB’s Post

🌟 AI and Test Automation: The Future is Now! 🌟 QA engineers always looking for ways to improve efficiency and accuracy.  Recently, there's been a lot of buzz 🧨 around how AI and Machine Learning are transforming test automation—and for good reason! 🤖 With AI-powered tools, we can: * Automatically generate test cases based on user behavior data * Predict areas where tests are likely to fail or where bugs may be lurking 🕵️♂️ *Reduce time spent on manual tasks like identifying flaky tests and optimizing test suites * Perform faster regression testing and continuously learn from past test results to get smarter over time However, while AI is a fantastic tool, it's crucial to remember that it doesn’t replace us! 📍 It enhances our role, allowing us to focus on critical thinking, strategic testing, and providing value-driven quality. The human factor intuition and understanding of user experience remain irreplaceable. #QA #SoftwareTesting #Automation #AI #MachineLearning #QualityAssurance #FutureOfTesting

The Future of QA: Embracing AI-Powered Testing As technology continues to evolve, the role of Quality Assurance (QA) in software development is undergoing a significant transformation. The emergence of Artificial Intelligence (AI) and Machine Learning (ML) is revolutionizing the way we approach testing, enabling us to catch defects earlier, reduce testing time, and improve overall quality. Let's embrace the future of QA and unlock the full potential of AI-powered testing! Share your thoughts:How do you see AI transforming the QA landscape? What skills do you think are essential for QA professionals to succeed in this new era? #AIinQA #QualityAssurance #SoftwareTesting #Automation #MachineLearning #FutureOfWork #TechInnovation

🚀 Automating QA Testing with Gen AI: A Real Game Changer For IT solutions! 🤖🔧 🌟 Transforming Quality Assurance in Software Development with Generative AI!! ✨ Generative AI is reshaping the future of QA testing by automating test creation, execution, and analysis. 🤖💻 It can quickly identify bugs 🐞, generate comprehensive test cases 📋, and even predict potential failures 🔮, saving time ⏳ and improving accuracy. ✅ By reducing manual testing efforts, teams can focus on more critical tasks 🚀, speeding up development cycles 🕒 and enhancing software quality. 📈 It’s not just about faster testing—it’s about smarter, more efficient processes. 💡 Gen AI is truly a game-changer for QA! 🎮💥 ✨ Here’s how Gen AI is transforming the QA landscape: 1. 📝 Automated Test Case Generation → Smart Test Creation | Code Analysis | Comprehensive Coverage 2. 🛠️ Self-Healing Test Automation → Dynamic Script Adaptation | Real-Time Fixes | Error Resilience 3. 🔮 Predictive Code and Bug Detection → Defect Prediction | Risk Management | Proactive Testing 4. 📊 AI-Driven Test Data Generation → Synthetic Data | Edge Case Coverage | Realistic Scenarios 5.⚡ Accelerated Regression Testing → Automated Execution | Test Prioritization | Reduced Time 6. 💬 NLP for Test Case Generation → Natural Language Conversion | Conversational Test Automation 7. 🔄 Continuous Testing in CI/CD Pipelines → Seamless Integration | Faster Feedback | Automated Monitoring 8. 📈 Enhanced Code Coverage & Optimization → Maximized Coverage | Test Streamlining | Optimization 9. 📉 AI-Driven Anomaly Detection → Risk-Based Testing | Early Issue Identification | Problem Prevention 10. 📑 Automated Reporting & Insights → Real-Time Reports | Root Cause Analysis | Clear Insights 🌍 Gen AI + QA = Higher Quality, Faster Testing, Smarter Solutions! #AutomationRevolution #GenerativeAI #QATesting #AIinTesting #SelfHealingAutomation #TechInnovation #CI_CD #PredictiveAnalytics #AIForQuality #SoftwareTesting #DigitalTransformation #ArtificialIntelligence #TestAutomation #AIpoweredQA #SmartTesting Apptad Inc. Photo Credit - Chat GPT

AI has quickly transformed industries worldwide, with both positive and negative impacts 🌍. While there's room for growth, businesses that don't embrace it risk falling behind 🚀. In QA, "AI testing" is set to become the norm, revolutionizing software testing in the coming years 💻. #AI #TechRevolution #QATesting #FutureOfWork #SoftwareTesting

DON'T BELIEVE THE HYPE! Good advice anytime, but now? In the age of AI? CRUCIAL. It looks like the hype over #devin the AI programmer doing jobs on #upwork may not be what it was made out to be. Carl, a VERY experienced software engineer, breaks down the reasons on his YouTube channel "The Internet of Bugs". ⇣⇣⇣ Link in Comments ⇣⇣⇣ He makes some VERY compelling arguments and gives time-stamped proof of what he is talking about. HE ALSO NAILS THE IMPORTANT PART FOR SOFTWARE ENGINEERS: "The hard part, the important part, the difficult part, the time consuming part of being a software engineer is communication with the customer, with your boss, with the stakeholders. Figuring out what actually needs to get done, going back and forth, saying, 'okay, this would be a lot easier. How about we do that?' Those are the kinds of things that AI just isn't capable of doing, and those are some of the most important things that we do." Communication skills are the HARD PART. Communicating with the customer is...THE DIFFICULT PART. FIGURING OUT what ACTUALLY needs to get done. AI doesn't have those skills. Do you? Set yourself apart from AI. Set yourself apart form other SEs. Be the one with the technical skills... AND The communication skills. DM me. P.S. The "other" reference to "Don't Believe the Hype" is not lost on me. I will put a link to that in the comments too. Two masters of HYPE at work. #英語 #ビジネス英語 #コミュニケーション #softwaredevelopment #AI #hype

"Oh my Lord! Generative AI will take away my job as a tester" - said a young tester who has spent a little less than 3 years in the industry. Within a year of this tester joining the industry, the Generative AI wave hit us with chatGPT and it got all the attention and hype so it's quite easy for people to start believing in such things. But is it true though? So what's the deal here? Generative AI has several use cases and can be handy with a lot of things that testers do for example, generating test ideas, writing scripts, preparing test data and much more however, can you just pick up the output from these AI models and use them as is for your testing? Wouldn't you need to analyze and verify the results before you use them? No I am not trying to plant a seed of doubt in your mind towards these models. I am only asking if as a tester you are willing to bet all your money on these models in their current state. As days progress, we may see these models mature and be more accurate and probably then we could see AI models doing a lot of things that testers do. But will it still take away a tester's job? I DON'T THINK SO! However, someone who knows how to use these AI models to their advantage will definitely take the jobs away because that's the kind of person companies are looking for and will continue to look for. So it's important for you learn and upgrade the skills. What should the the testers learn? How much of it? As a tester, you don't need to be an expert in AI but you should ideally know how it works and does what it does. Learning fundamentals will take you a long way. What's more important is to learn how you can use these models to your advantage to solve your problems. It is similar to learning coding to solve your problems and use it to you advantage. One shouldn't get too overwhelmed by AI and its hype because we have been hearing similar statements about automation for the past 2 decades or so and yet all the jobs seem to be intact. Like we have seen people with automation skills being able to leverage their skills to higher paying jobs, we will see similar trends for people with knowledge of AI and its application in testing. So, have you started learning about AI yet? #softwaretesting #ai #jobs #brijeshsays

New era of AI has begun. Cognition AI just introduced Devin, the world's first AI software engineer 🤯 It's better than GPT 4, and Claude combined. 1. Devin can easily train and fine-tune its own AI models. 2. Devin can learn how to use new technologies. 3. Understanding its capabilities: Devin does more than just complete and suggest code. It can independently manage the whole process of creating and releasing software applications 4. Devin can build and deploy apps end to end. 5. Devin is really good at solving GitHub problems on his own, fixing 13.86% of them. The future of software engineering involves AI agents. Imagine an AI that can handle engineering work very efficiently and keeps getting better, almost like a human software engineer. There are so many possibilities, and Devin is just the beginning. #devin #chatgpt4 #ai #sde #developer #cognition

Five years ago, I embarked on an incredible journey with Pragnakalp Techlabs as a Chatbot Developer and Machine Learning Engineer. At that time, we were a small team of just 5-6 employees. I was diving into the unknown, working on a Dialogflow-based chatbot using NodeJS. I had never developed a chatbot before—or even heard of one! 😄 But that was the start of my AI career. Soon after, I found myself fine-tuning the GPT-2 model. We were all new to AI and GPT models, so it required a lot of research and perseverance. I remember the long hours and the excitement of finally cracking it. It was then that I realized the power of research and persistence in solving complex tasks. This experience paved the way for me to work on various models like BART, BERT, Pegasus, T5, and MT5 for tasks like text generation, summarization, paraphrasing, and token classification. 🚀 With all the knowledge and experience gained at Pragnakalp, my team and I developed numerous projects and in-house products like Docsaar, Machinewrites, and Postify. Now, in the era of LLMs, we are working on cutting-edge models like Gemini, ChatGPT, Llama, and Stable Diffusion. Each phase of my professional journey has been incredible, and I have cherished every role, from being a junior developer to a senior developer, and now a project leader. I am deeply grateful to Shifa, Mittal Patel, and Milind Patel, who have worked alongside me for these five years. They have been there advising, sharing knowledge, collaborating, and handling difficult projects together. And a big thank you to all the juniors who have worked with me, put up with me and helped us grow together. There are many people I could tag here, but to summarize, the Pragnakalp Techlabs team made this journey possible. Here's to many more years of growth and innovation! 🌟

𝐓𝐡𝐞 𝐔𝐥𝐭𝐢𝐦𝐚𝐭𝐞 𝐖𝐚𝐥𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐨𝐟 𝐭𝐡𝐞 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐋𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞 Generative AI and LLMs are fast becoming a game-changer in the business world. Everyone wants to learn more about it. The landscape covers the following points: • What is GenAI? • Foundational Models and LLMs • “Attention is All You Need” and its impact • GenAI vs Traditional AI • How to train a foundation model? • The GenAI Development Stack (LLMs, Frameworks, Programming • Languages, etc.) • GenAI Applications • Designing a simple GenAI application • The AI Engineer Job Role

🤖 AI and Career Progression for Testing Professionals 🤖 As testing professionals, embracing AI can significantly enhance our work processes, performance, and ethical practices. Staying ahead of trends is essential, and one effective strategy is to delve into various AI algorithms, master data preprocessing techniques, and understand model evaluation metrics. Online courses, books, and tutorials are valuable resources for acquiring this knowledge. 💯 📣 Join our upcoming Fireside Chat with Naresh Rajendiran where we explore the intersection of AI and career growth for software test engineers. Discover how our roles are evolving in response to the integration of AI technology. Let’s ignite an engaging discussion and uncover the implications these changes hold for the testing community! 🔥 🆓 Sign up now: https://bit.ly/tttamanrso #TheTestTribe #SoftwareTesting #Testers #Community #GenerativeAI #Testing