How to Scale AI Test Automation without Losing Test Visibility
Software teams are racing ahead with AI‑generated code—93% already use it and 60% expect AI to write half of all code within a year. The speed surge is outpacing traditional testing, leaving 60% of teams reporting quality issues and fragmented test data. SmartBear’s Reflect and QMetry integration stitches AI‑driven automation into a centralized test‑management hub, delivering a single view of execution, coverage, and release readiness. The combined solution promises scalable automation without sacrificing visibility or governance.
Reflect Vs. Playwright: Choosing the Right Test Automation Approach
Enterprises with AI mandates must choose between a no‑code, AI‑native platform like SmartBear Reflect and a code‑first framework such as Microsoft Playwright. Reflect promises ten‑times faster test creation, self‑healing AI that eliminates most maintenance, and a managed cloud ecosystem that...
Git Review for TestComplete Projects
Teams using SmartBear TestComplete often see a flood of changed files after a minor test tweak, making code reviews inefficient. The article proposes a risk‑based classification of TestComplete artifacts and a disciplined Git workflow that prioritizes script and keyword‑test files,...
How Does BearQ Autonomous QA Work? Your Top Questions Answered
SmartBear unveiled BearQ™, an autonomous QA platform that uses AI‑driven agents to continuously explore, model, and test web applications. The system comprises Explorer, QA Lead, and Tester agents that share a live application model, enabling real‑time coverage assessment and test...
SmartBear Testing Tools Compared
SmartBear’s new study shows nearly 70% of software professionals see application quality slipping as AI‑driven code generation outpaces testing capacity. The company argues the trade‑off between speed and quality can be eliminated with a testing ecosystem built for AI‑accelerated development....
The Testing Disconnect That’s Undermining Your API Quality
APIs have evolved into core business assets, but testing remains fragmented across disparate tools, creating bottlenecks and quality risks. The article outlines six stages of the API testing lifecycle where misaligned tooling leads to duplicated effort, environment drift, and data‑integrity...
Create Tests in Reflect Directly From Your Coding Agent!
Reflect now lets coding agents such as Claude Code, Copilot or Cursor create automated tests via the SmartBear MCP server. By supplying high‑level intent—like “log in and create a sales quotation”—the agent determines the necessary UI interactions, self‑heals when errors...
Advanced Object Recognition in Test Automation: Comparing Leading Enterprise Solutions
Object recognition is the linchpin of modern test automation, enabling scripts to locate and interact with UI elements across web, desktop, mobile, and legacy environments. The article compares four enterprise‑grade tools—SmartBear TestComplete, Ranorex Studio, Tricentis Tosca, and Keysight Eggplant—focusing on...
Application Integrity: The New Standard for AI-Era Software Quality
AI-driven coding tools are delivering software at unprecedented speed, but testing, security, and deployment processes have not kept pace. This mismatch creates a risk to application integrity, defined as continuous, measurable assurance that software works as intended. SmartBear introduces BearQ,...
Best Tool for AI-Powered Automated Testing: Reflect Vs. ACCELQ
AI‑powered testing is reshaping how rapid‑release teams automate QA, with traditional selector‑based tools causing up to 60% of QA effort to be spent on maintenance. The article compares SmartBear Reflect and ACCELQ, highlighting Reflect’s visual AI, self‑healing, and natural‑language test...
Maintaining Compliance when Adopting AI in Regulated Industries
Regulated firms can integrate AI without sacrificing compliance by leveraging automated testing. Continuous validation mitigates risks from non‑deterministic model behavior, frequent updates, and limited explainability. The approach preserves audit‑readiness, traceability, and documented evidence across frameworks such as SOX, HIPAA, and...
4 Best API Testing Tools for Enterprise Teams
Enterprise teams are under pressure to deliver secure, high‑performance APIs while meeting strict compliance and rapid release schedules. The article evaluates four leading API testing platforms—SmartBear ReadyAPI, Postman, Bruno, and Katalon—highlighting their functional, security, performance, and governance capabilities. Each tool...