ZenTao Blog

ZenTao once again stands out from the crowd as the most common test management tool in the industry. This is the eighth year in a row that ZenTao has been the winner of "Common Test Management Tools"!

Before we dig down on to consider migration from Jira to ZenTao, let’s start with the basics, for business positions, who might be new to this. We’ll briefly introduce you to Jira, it’s the most popular alternative — ZenTao, and then touch base on the most common reasons, why businesses decided to move from Jira to ZenTao.

As 2025 wraps up, the ZenTao Team is popping the confetti and sending you a big thank-you. To our customers, readers, and friends—your trust, feedback, and support keep us building better tools and sharing better ideas. Here’s to a brighter 2026: smoother projects, fewer bugs, and more wins :)

DevSecOps embeds security into every stage of the SDLC by shifting controls left and automating them in CI/CD. This guide explains Security as Code (SaC), covering RBAC and least privilege, SAST/DAST testing, and closed-loop vulnerability scanning. Learn practical steps for continuous monitoring, backups, and team training.

Code coverage isn’t a vanity metric—it’s a practical way to reveal untested code paths, align developers and QA, and reduce costly production defects. Learn how to use coverage as a risk-based map, improve testability and collaboration, and avoid “coverage for coverage’s sake” while strengthening release confidence.

This article offers 18 career lessons for early-stage software engineers, emphasizing goal setting, curiosity, asking questions, minimizing complexity, building a personal brand, choosing the right organization, developing domain expertise, taking calculated risks, continuous learning, mentorship, ethics, and healthy mindset shifts (JOMO over FOMO). It also highlights observability and monitoring as code.

Test automation accelerates delivery and lowers QA cost, but success depends on disciplined practices. This article shares six practical tips: choose the right tool with clear criteria, separate test data from code (DDT), prioritize fast and stable API tests, adopt AI-based visual testing, run tests in parallel, and capture failures with screenshots/videos for faster debugging.

This article explores the potential changes that the integration of GPT technology may bring to the SaaS industry. It covers various aspects, including the evolution of the user interface, the role of different departments within SaaS companies, and the overall impact on the industry's development. The author provides insights into the opportunities and challenges that may arise with the widespread adoption of GPT technology in the SaaS industry.

One of the biggest concerns when we are engaged in project management is the occurrence of uncertain events. Managing uncertainty is composed of two parts: reducing uncertainty to an actionable level and controlling risk management during the product implementation process.

The article explains how the PDCA (Plan–Do–Check–Action) cycle can strengthen software quality in agile development. By treating each iteration, feature, process, and team collaboration as a repeatable PDCA loop, teams detect defects earlier, reduce rework costs, and drive continuous improvement, leading to faster delivery and higher customer satisfaction.

This article presents a structured approach to ensuring seamless project handovers. It outlines a three‑phase framework—preparation, execution, and closure—supported by core project management methodologies and tools such as ZenTao. By emphasizing comprehensive information organization, effective communication, knowledge transfer, and proactive risk control, the guide enables teams to achieve clear responsibility transition and operational continuity. Stressing thorough preparation, precise execution, and continuous review, the process turns handovers from a potential obstacle into a driver of project stability and success.

This article explores the management logic and implementation pathways for disruptive technological innovation. It presents a structured framework to address inherent risks, covering processes from idea sourcing and flexible incubation to commercialization and continuous iteration. Highlighting the integration of scientific evaluation, cross-functional collaboration, and organizational adaptability, the text contends that enterprises must develop robust support systems, utilize specialized tools, and cultivate a conducive innovation ecosystem to effectively leverage disruptive forces for sustained growth in an increasingly dynamic technological environment.