Continuous Testing
Novee Uncovers Cordyceps: The Latest Threat to CI/CD Pipelines
Jeff Burt | | AI coding agents, apache, CI/CD security, Cloudflare, code repositories, Cordyceps, GitHub Actions, google, microsoft, Novee, npm malware, PyPi, Python, supply chain attacks, WizA newly discovered supply chain security flaw is once again putting a spotlight on inherent weaknesses in CI/CD pipelines and the growing interest among cyberthreat actors to exploit them. Security researchers with ...
Your AI Testing Framework Might Be Passing Tests It Should Be Failing
Engineering teams are not evaluating whether AI belongs in their testing workflows anymore, but are discovering, sometimes painfully, that the architectural decisions they made when integrating it are the ones that will ...
Security Flaw in Claude Code Illustrates the Risk of AI in Developer Workflows
Jeff Burt | | agentic AI in development, Anthropic Claude Code, bash, CI/CD and AI agents, exposed secrets, GitHub Actions, microsoft, prompt injectionAI coding agents are reshaping software development—but they’re also expanding the attack surface. Researchers uncovered a now-patched vulnerability in Anthropic’s Claude Code GitHub Action that could have enabled prompt injection attacks to ...
SmartBear Adds Computer Vision Capability to Testing Platform
SmartBear this week extended its ability to apply artificial intelligence to application testing with the addition of a computer vision capability that can be used to detect objects in applications. Prashant Mohan, ...
Why DIY Test Automation Succeeds Its Way Into a Problem
Rohit Raghuvansi | | AI Development, DIY Test Automation, Quality Engineering, software testing, test automationAsk any engineering team if they can build their own test automation framework, and the answer is almost always “yes.” With modern AI tools involved, that answer arrives faster and with more ...
Regression Testing Tools in the Age of AI-Assisted Development: What Has Changed
Sophie Lane | | AI-assisted development, devsecops, regression testing tools, software testing, test automationFor most of the past decade, the conversation around regression testing tools was fairly stable. The tools got faster, the integrations got smoother, and the underlying approach stayed largely the same: write ...
Observability-Driven Continuous Testing in Cloud-Native DevOps
Observability transforms continuous testing from quality gates into reliability signals. Cloud-native teams ship faster because they know their systems better — traces reveal bottlenecks, synthetics catch regressions and security telemetry prevents breaches. ...
North Korean Hackers Suspected in Supply Chain Attack on Popular Axios Project
Jeff Burt | | Axios, CI/CD, Google Threat Intelligence Group, JavaScript dependencies, Mandiant, North Korea, remote access trojan (RAT), Socket, sonatype, supply chain attack, TeamPCPThe threat actor targeted a highly popular open source project with more than 100 million weekly downloads, creating a large "blast radius." ...
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. ...
