December 2025 Summaries

In 2025, the Qase ecosystem saw remarkable growth, with 427.7 million test results sent, marking nearly half a billion potential issues resolved before reaching production. The platform maintained a rhythm of approximately 15 million test results per week, driven largely by automation, which accounted for 415.6 million checks, ensuring speedy CI/CD pipelines. Manual testing also played a crucial role, with 12.1 million results addressing unique user experience challenges, demonstrating the ongoing need for human insight in software development. A total of 6.6 million test runs highlighted significant progress towards market readiness, while the integration of Qase with 5,354 apps underscored the interconnected nature of modern software environments. This year emphasized the dedication of teams who worked tirelessly to deliver not just features but quality, meeting rigorous standards and relying on Qase for managing their quality data, ultimately fostering better software delivery for the future.

Database Profiler is a tool integrated into Qase that provides comprehensive insights into SQL queries during integration and end-to-end tests by automatically tracking and logging database operations. It addresses common challenges associated with database testing, such as identifying slow queries, pinpointing bottlenecks, and understanding data changes by intercepting SQL queries and sending detailed information, including query text, execution time, and affected rows, to Qase TestOps as individual test steps. By utilizing techniques like monkey patching and proxy classes, Database Profiler enhances the ability to debug and optimize tests, offering full visibility into the database interactions and thereby contributing to more stable and efficient test environments.

Interview processes in engineering often mirror unreliable practices akin to pseudo-scientific methods like astrology or MBTI, raising concerns about their scientific rigor in predicting job performance. Engineers typically value methods that are both reliable and valid, meaning they consistently produce stable results and accurately assess a candidate's potential to perform well in the role. Many traditional interview formats, such as unstructured "culture fit" chats or generic behavioral questions, have low validity as they often measure a candidate's ability to perform rehearsed scripts rather than actual job skills. In contrast, high-correlation interview methods are tailored to the specific work of the role, such as coding exercises or pair programming sessions, which better simulate real job tasks and thus have a higher correlation with job performance. To ensure an interview method is effective, it should first be tested with existing employees, serving as a control sample to validate its accuracy. This approach allows companies to refine their hiring processes by focusing on methods that truly reflect the skills needed for the job, ultimately improving the correlation between interview results and actual performance during probation.

Brandon DePesa's journey at SUSE highlights the evolution of their cloud-native business's quality assurance (QA) processes, transitioning from startup-level, fragmented systems to a unified, data-driven quality framework with Qase at its core. Initially, SUSE's QA relied on lightweight tools and scattered documentation, which became inadequate as the company scaled up, especially after acquiring Rancher and growing the QA team from three to eighty people. The fragmented approach made it difficult to track test coverage and present comprehensive QA metrics to leadership. To address these challenges, DePesa and his team conducted a thorough evaluation of potential QA platforms, ultimately selecting Qase due to its intuitive user interface, flexible import capabilities, and automation-friendly features. This transformation enabled SUSE to streamline its QA processes, enhance visibility across the organization, and improve cross-product testing, thereby reinforcing trust with both open-source users and enterprise clients. The implementation of Qase has not only reduced onboarding time significantly but also facilitated broader organizational engagement with QA data, enabling strategic insights and contributing to the overall quality culture at SUSE.

The Berlin QA community recently held its 10th meetup, fostering engaging discussions on quality assurance, ethics in product development, and the importance of analytics in making informed product decisions. The event featured three key talks, starting with Glen Holmes, VP of Product, who emphasized the role of ethics in guiding technological innovation and decision-making, questioning the balance between economic reasoning and ethical constraints. Anna presented on the significance of integrating quality assurance throughout the development process rather than treating it as a final safety net, highlighting the need for a strong theoretical foundation in QA practices. Evgenii concluded with insights into testing mobile analytics for reliable data, stressing the collaborative nature of ensuring data trustworthiness across teams. The meetup successfully encouraged a vibrant exchange of ideas and experiences, with participants staying late to delve deeper into the topics discussed.

November was a month of significant enhancements aimed at accelerating workflows and improving efficiency for engineers, culminating in the introduction of a new architecture for shared logic, a faster AI experience, and a suite of reporter upgrades. Key developments include the elevation of Shared Steps to the Workspace level, allowing for a centralized library of test steps that enhances maintainability and reduces redundancy; improvements in data handling with asynchronous downloads, full suite paths, and inclusive child suite queries for more effective data management; and expanded integrations and security measures with support for Vitest, improved Robot Framework logging, and the patching of vulnerabilities in JS reporters. Additionally, the evolution of AIDEN into a more immediate and responsive tool, along with the upcoming Co-pilot and Agentic modes, promises greater control and precision in test execution, supported by the doubling of AIDEN credits to facilitate increased usage. These updates are designed to enable users to build faster, cleaner, and more scalable tests, reflecting a commitment to continuous improvement and innovation.

The author's experience interviewing candidates at a bank highlights inefficiencies in traditional hiring processes, drawing parallels with outdated software development methods where testing occurs too late. They reflect on spending approximately 400 hours annually on interviews, resulting in only 35 hires, and emphasize the need for a "shift-left" approach in recruitment, where analysis and feedback occur earlier to prevent wasted effort. This involves creating precise job descriptions that reflect actual job responsibilities and constraints, thereby improving candidate self-selection and reducing mismatches. The concept of an Andon cord from Toyota's production system is suggested as a means to halt and reassess the recruitment process when patterns of failure are detected, preventing further waste. The use of control charts is proposed to differentiate between normal fluctuations and genuine process issues, ensuring appropriate responses to hiring challenges. Treating hiring as a quality assurance responsibility can enhance efficiency and effectiveness, ensuring that recruitment processes are continually analyzed and improved to minimize waste and optimize outcomes.