Continuous Testing
Can QA Reignite its Purpose in the Agentic Code Generation Era?
Tzvika Shahaf | | agentic AI, AI code generation, flaky tests, QA automation, sdlc, software testingAI-generated code is accelerating development but it exposes a deeper issue. Why deterministic infrastructure is becoming the foundation of agentic QA ...
Test Automation Strategy for Growing Software Teams
Build a scalable test automation strategy that improves release speed, reduces defects, and supports growing software teams ...
AI-Driven Performance Testing: A New Era for Software Quality
Akash Thakur | | AI agents, AI defect detection, AI in DevOps, AI load testing, AI observability, AI performance testing, AI testing tools, continuous assurance, intelligent performance systems, LLMs in testing, ML-driven QA, next-gen performance testing, performance automation, performance engineering, performance engineers, performance lifecycle, performance monitoring, performance optimization, predictive performance analysis, predictive testing, requirements as code, self-healing systems, software reliability, SRE automation, testing transformationDiscover how AI and large language models (LLMs) are revolutionizing performance testing—shifting from reactive load testing to predictive, continuous assurance powered by intelligent agents and automation ...
DevOps Workflow: The Key Elements and Tools Involved
Peter Baker | | agile methodology, Automated testing, automation tools, CI/CD, collaboration tools, continuous delivery, continuous improvement, continuous integration, devops best practices, devops culture, DevOps workflow, devsecops, feedback loops, GitHub Actions, GitLab CI, IaC, infrastructure as code, IT operations, logging, Microsoft Teams, monitoring, observability, Quality Assurance, software developmentWhat does a modern DevOps workflow look like? Click to learn about the essential elements, tools, and practices involved in the effective work process. ...
From Firefighting to Forward-Thinking: My Real-World Lessons in DevOps and Cloud Engineering
Bhanuteja Somarouthu | | CI/CD pipelines, cloud infrastructure, devops best practices, observability in devops, Real-world DevOpsTools change, but the fundamentals stay — plan for failure, treat infra and pipelines like code and make observability a first-class citizen ...
Continuous Testing Strategies That Actually Prevent Production Bugs
Construct a resilient testing framework that prevents defects from boarding the release train in the first place, enabling code to leave the station reliably and quickly. ...
Accelerating DevOps Pipelines With AI-Native Testing
An in-depth look at AI-native testing and the capability it has of pushing things through the DevOps pipeline, faster ...
Shift-Left API Security Testing: A Strategic Move for Agile Enterprises
Emily Amanda | | API Security Testing, API testing, API Testing for agile enterprises, Shift-Left in API SecurityShift-left API security testing is more than a mere development trend; it’s also a strategic business decision ...
From Testing Hell to Quality Heaven With Intelligent Continuous Testing
Intelligent Continuous Testing is not just the next step in automation — it’s the missing link between speed and quality in modern software delivery. If your team is stuck in manual testing ...
AI-Generated Code Packages Can Lead to ‘Slopsquatting’ Threat
Jeff Burt | | AI code generation, AI hallucinations, Large Language Models, slopsquatting, software supply chain risksAI hallucinations – the occasional tendency of large language models to respond to prompts with incorrect, inaccurate or made-up answers – have been an ongoing concern as the enterprise adoption of generative ...
Breaking Down Testing Barriers: How Observability is Bridging Dev and Ops
Tricentis's Bryan Cole discusses how AI-powered observability and continuous testing transform the relationship between development and operations teams ...
Your Test Data Service is Outdated – Here’s Why (And What to Do About It)
James Walker | | ai, Aritficial Intelligence, devops, software development, TDM, test data, test data managementOutdated test data practices continue to hold back organizations, creating bottlenecks in delivery and compromising software quality. ...
