Building robust software & helping companies grow with my automation skills | Software Tester with 3+ years of experience | Open to new opportunities!
For day 9 🗓 of the #30daysjobchallenge by Josh Mason, 🚀Let’s dive into AI in testing. Yesterday I talked about how AI surrounds us in our daily lives. In the same way, AI is now becoming prominent in the tech world, even testing. AI has brought significant improvements in the testing process. Following are some of the benefits of incorporating AI in testing – ✨1. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐓𝐞𝐬𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 – We can quickly generate comprehensive test cases using AI tools like Testim and Applitools. These tools analyse our application and create tests that cover various scenarios, reducing the manual effort and ensuring thorough coverage. ✨2. 𝐅𝐚𝐬𝐭𝐞𝐫 𝐁𝐮𝐠 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 – AI-driven tools like Bugspots and DeepCode help us identify and diagnose issues much earlier in the development cycle. They analyse code patterns and usage data to predict where bugs are likely to occur, speeding up the resolution process. ✨3. 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 – Tools like Test.AI leverage AI to minimize human error in testing. By automating repetitive tasks and validating user interfaces, these tools lead to more reliable and accurate results. ✨4. 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 – AI supports continuous testing in CI/CD pipelines with tools like Sauce Labs and Jenkins. These tools use AI to run tests automatically with every code change, enabling rapid feedback and more frequent releases. AI not only enhances the efficiency of the testing process but also helps improve overall quality. What other AI tools can we use to enhance our processes? #AI #Testing #QualityAssurance #Automation #SoftwareTesting #TechInnovation #Innovation #ContinuousTesting #Technology #personaldevelopment #personalbranding
