Agentic AI and the Future of Software Testing: A Q&A with Angie Jones
Explore how this emerging technology is changing and evolving the software development and testing fields.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
The latest News and Information on Software Testing and related technologies.
Why You Need An Ai Code Checker
Imagine waking up to an email from a junior developer: I just wrote 1,000 lines of flawless code in under an hour! Impressive? Absolutely. Suspicious? Maybe. Thanks to AI tools like GitHub Copilot, ChatGPT, Cursor and Claude, writing code has never been faster. But as AI-generated code floods repositories, classrooms, and businesses, a critical question arises: How do we know if code was written by a human or an AI?
Building a SBOM That Supports EO 14028 & EO 14144 Compliance
In late 2020, hackers infiltrated SolarWinds—a company that produces network, systems, and information technology management software for public and private sector organizations. The resulting trojan went on to infect thousands of government entities and private companies as it was introduced into other software applications through version updates. Microsoft President Brad Smith called it "the largest and most sophisticated attack the world has ever seen.”
What Is Codename Goose? Angie Jones Explains
Codename Goose isn’t just another AI tool — it’s a fully customizable, open-source client that connects to 4,000+ MCP servers and works with any large language model (LLM). In this clip from Test Case Scenario, Angie Jones breaks down why Goose is such a game-changer for automation, productivity, and how we interact with systems through natural language. Full episode now live with Angie Jones — hosted by Sauce Labs.
Download P4 One and Get Started in Minutes
Get an inside look at P4 One, the version control client built for artists, designers, and creative teams. In this demo, Jase Lindgren, Senior P4 User Advocate, shows you how to: Ready to get your creative workflows under control? Whether you’re new to version control or just want something built with artists in mind, this demo gives you a fast, clear look at how P4 One makes version control easier.
Perforce Intelligence Delivers Real AI Results with Control and Compliance Baked In
Perforce Intelligence gives CIOs confidence to lead AI-driven digital transformation securely and efficiently, while delivering measurable results to the business. New AI enhancements to Puppet Enterprise Advanced help teams learn, optimize, and better understand their infrastructure changes without needing advanced Puppet skills.
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How to Mock OpenAI's APIs with Speedscale's ProxyMock
Developing APIs can often be a complex web of dependencies, external dependencies, and murky network traffic. In order to build better, developers need a certain amount of stability to test a query or feature against, and when this stability is lacking, development can get more complicated and difficult. Enter API mocking. API mocking is an approach to generating a mock service that provides dependable data for a variety of testing purposes. This data can then be used as a test case for actual API calls, allowing for more complete and accurate development.
Breaking the Upgrade Barrier: Why QA Should Be Front and Center in Your SAP S/4HANA Journey
Upgrading to SAP S/4HANA is more than a technology refresh—it’s a strategic business transformation. With its real-time data processing, simplified architecture, and enhanced user experience, SAP S/4HANA promises agility and innovation. But realising that promise requires more than just a successful migration—it demands a rock-solid Quality Assurance (QA) foundation.
Mastering Mcp To A2a: Everything A Developer Needs To Know
We have all seen the frenzy of Devin AI—teams racing to spin up models, orchestrate data flows, and automate every possible touchpoint. But beyond the hype, two architectural patterns quietly power next-generation pipelines: Model Context Protocol (MCP) and Agent-to-Agent (A2A). Below is the roadmap for our deep dive into MCP (Model Context Protocol) and A2A (Agent-to-Agent).
AI in Software Testing: Actionable Advice for 2025
As software systems get increasingly complex every day, the challenges of effective testing also escalate. Software testing involves handling large datasets, complex workflows, and shorter release cycles.