Launchable

🚨 News alert: Launchable is joining the CloudBees family. “At Launchable, we focused on delivering innovative solutions to the pervasive challenges of software development. Namely, AI to QA. CloudBees is a time-tested and trusted DevSecOps platform that rocks the world, so this is a perfect combination.” - Kohsuke Kawaguchi.  Full announcement can be found here. ➡️ https://lnkd.in/ePZp_KUW

7 words for security-minded software developer teams wanting to accelerate their dev-test workflow: Launchable is SOC 2 Type II compliant We have made it easier for you to convince your security team to bring in a turnkey AI/ML solution rather than build one in-house. https://lnkd.in/gjn_mCiC

Harpreet Singh was recently interviewed by Ton Dobbe 🔆 for his podcast. The conversation was about Entrepreneurship. Ton is an entrepreneur and the conversations hit interesting challenges for entrepreneurs. You can find the interview at https://lnkd.in/gddgD6Wa The key highlights are on Ton's post https://lnkd.in/giW6MhQ6

80% of your tests are pointless: Launchable's ML can predict which tests will fail. So you can run them first and fail faster. That's proactive software development! My podcast host was singularly focused on this particular benefit and termed what we did as —"proactive software development." I internalized this reframing: "Can we get ahead of problems created in your code base? Can we not be reactive?" So the question is: Is your team doing proactive software development? If your team is running "all the tests all the time," this is the right time to "Think Different" and ask yourself, "Why are we doing that? Can we be smarter?" AI has moved so far that we can do things in new ways. Launchable's next immediate step takes this even further: It converts the manual, unoptimized Dev-Test workflow and augments root-cause analysis with Generative AI. I invite you to listen in. https://lnkd.in/gnJaBGbq

Manual (and expensive) test triaging process: Using Gen AI to automate root-cause analysis. In this podcast, Kohsuke Kawaguchi discusses what Launchable's product team is making today for its customers (hint: it was in the title of the post). He also discusses GenAI's impact on the Dev-Test workflow. On a personal front, he unveils his unique approach of using the "Gradient Descent" ML optimization approach for tackling any project (work or personal) https://lnkd.in/ec4UdvNF

Our co-CEO Harpreet Singh was on a podcast last week. This podcast has something for everyone, whether you want to jump into entrepreneurship, are an engineer figuring out how AI can assist you, or are at mid-career, looking to change. Shiv, a technology veteran and the host of "Software People Stories," asked me questions that required me to dig deep. Most of the podcast discussed the challenges of scaling as an entrepreneur, particularly prioritizing the important over the urgent. On the Launchable front, the conversation was about how AI will augment the life of software engineers and Launchable's unique take in this domain. Another part of the conversation was how we identified this domain. https://lnkd.in/gJsHPtEr

✨Software testability✨ is fundamental to ensuring SDETs and test automation engineers meet all functional and non-functional requirements. We've collected 4 actionable strategies can leverage to improve software testability. https://hubs.ly/Q02cl5nJ0

Optimize you Cypress testing workflows for efficiency and faster feedback during the development cycle with these tried and true strategies in our latest Hackernoon blog: https://hubs.ly/Q02d5h2q0

Mastering defect tracking is crucial for software development! 🛠️ Various factors impact your tracking program, equip your team with the knowledge on the types of tools, key features, and the game-changing benefits these defect tracking tools can offer: https://hubs.ly/Q02c963H0

Learn how the automotive giant, BMW was able to significantly improve testing 🤖 efficiency and 💲costs with the help of Launchable intelligent testing platform: https://hubs.ly/Q02d5hVC0