Harpreet Singh’s Post

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CEO, Advisor & Entrepreneur| Pioneering AI-driven Dev-Test Feedback Loop | Advancing Software Triage with Test Failure Intelligence & Optimization.

Three things AI (and Generative AI too) can do to help engineering teams to deliver higher velocity for changes. All the recent conversations around AI magically producing code means that developers and QA have even greater pressure to find problems and fix them faster. In short, triaging failures is becoming a bigger problem. In this episode, I talk about Launchable's viewpoint and solution to help teams. 1. Catch issues earlier 2. Priortize tests 3. Classify failures It was a wonderful conversation with Joe Colantonio who is a veteran in the software testing field.

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5,884 followers

Join Harpreet Singh, co-founder and co-CEO of Launchable, on the latest TestGuild podcast as he delves into AI-driven failure diagnostics. Harpreet explains how machine learning can predict failures, streamline testing, and notify teams via Slack when issues arise.   In this episode, Harpreet shares real-life examples, including BMW, showcasing the effectiveness of Launchable's platform. Learn how to catch issues earlier, prioritize critical tests, and integrate AI seamlessly into your CI/CD pipelines. This podcast is a must-listen for anyone looking to enhance their software testing practices.   Tune in now and discover how AI can save you time, reduce cognitive load, and improve your testing outcomes. Listen now! 👇👇👇 https://lnkd.in/epJG5PW3   #devops #softwaretesting #machinelearning #ML #shiftleft #testfailures #CICD #engineeringteam #Launchable #AI #AIinTesting #softwraedevelopment #AIinDevOps

  • DevOps Crime Scenes: Using AI-Driven Failure Diagnostics with Harpreet Singh for the TestGuild DevOps Toolchain Podcast by Joe Colantonio
Joe Colantonio

Test Automation with Industry Experts & Founder of Test Guild | DevOps | Software Testing | Join our 40K Community | Podcast Host & Speaker | Follow ➜ #TestGuild | Become a TestGuild Sponsor 👇

1mo

Thanks 🙏 again for an awesome interview!

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Thank you for sharing these insights. It's fascinating to see how AI can be leveraged to streamline the engineering process. Catching issues earlier and prioritizing tests seem like game-changers. Could you share more about how your solution classifies failures? This could be valuable for many teams facing similar challenges.

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Mayuresh Tare

Business Consulting @Practus I #ROIDelivered

1d

Great podcast! AI-driven failure diagnostics can definitely enhance software testing practices by predicting failures, streamlining testing, and notifying teams via Slack.

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Heidi Gilmore

Marketing Communications | Corporate Communications | Leadership | Public Relations | Marketing Strategy | Website Marketing | Content Marketing | Customer Marketing | Social Media | Partner Marketing | Design Services

1mo

More great thought leadership/learning from Harpreet Singh!

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