Picture this: You’re testing a new AI-powered code review feature. You submit the same pull request twice and get two different sets of suggestions. Both seem reasonable. Both catch legitimate issues. But they’re different. Your instinct as a QA professional screams “file a bug!” But wait—is this a bug, or is this just how AI … continue reading
No industry is immune to the need for high-quality software. Recently, automaker Ford recalled more than 355,000 trucks due to an instrument panel display issue; a flaw that risked hiding critical information like speed and, in turn, increasing the likelihood of car crashes. While not every software failure has such dramatic consequences, many organizations are … continue reading
Testlio has announced the release of a new AI-driven QA analysis solution called LeoInsights. The new platform is powered by the company’s intelligence layer LeoAI Engine, which was trained on 13 years of testing data, 2.6+ million test cases, and 600,000+ devices. It can provide executive summaries featuring key changes, emerging risks, and critical issues, … continue reading
A recent CIO article revealed a startling reality: 31% of employees admit to sabotaging their company’s generative AI strategy. That’s nearly one in three workers actively slowing down, blocking, or undermining progress. Now layer in the math: most AI initiatives involve dozens of employees. That means statistically, almost every project or proof-of-concept is being impacted by one or … continue reading
For decades, software testing has been built on a simple idea: humans write tests, machines run them. That model has persisted since the first commercial recorders appeared in the mid-1990s. Testers would record a flow, edit a script, maintain it as the application evolved, and repeat the cycle endlessly. Tools improved incrementally, but the basic … continue reading
When most developers think about testing, they imagine writing unit tests, running test suites, or triaging bugs. But effective testing is far more than that. It’s a cornerstone of reliable software delivery. It ensures business continuity, keeps users happy, and helps avoid costly surprises in production. For modern development teams in fast-moving agile or DevOps … continue reading
As software development undergoes a seismic shift with GenAI at the forefront, testing, quality assurance, and observability are being transformed in unprecedented ways. These advancements are driving new levels of automation and efficiencies, while challenging traditional methodologies and long-held assumptions about speed, adaptability, and innovation. As GenAI automates routine tasks and enables smarter decision-making, it … continue reading
When an event like the CrowdStrike failure literally brings the world to its knees, there’s a lot to unpack there. Why did it happen? How did it happen? Could it have been prevented? On the most recent episode of our weekly podcast, What the Dev?, we spoke with Arthur Hicken, chief evangelist at the testing … continue reading
As we saw last week with what happened as a result of a bad update from CrowdStrike, it’s more clear than ever that companies releasing software need a way to roll back updates if things go wrong. In the most recent episode of our podcast, What the Dev?, we spoke with Konrad Niemiec, founder and … continue reading
Sonar has announced a new integration of its code review tool, SonarCloud, with Amazon CodeCatalyst to help improve the development process for cloud-based applications. Amazon CodeCatalyst is a platform that provides blueprints for setting up software development projects in AWS, including setting up project tools, managing CI/CD pipelines, provisioning and configuring development environments, and more. … continue reading
Google has unveiled updates aimed at enhancing the quality and relevance of its search results. Among these updates are algorithmic improvements to its core ranking systems, designed to prioritize the surfacing of the most useful information available online while concurrently minimizing the presence of unoriginal content. Additionally, Google is revising its spam policies to more … continue reading
It’s no surprise that slow development processes are costing companies greatly, but by how much? According to a new report by the mobile testing company Kobiton, 75% of respondents said slow mobile app releases cost their company at least $100,000 each year, and 13% said it costs them between $1 million and $10 million every … continue reading
