Why Most AI QA Strategies Fail Before Testing Even Starts
A lot of teams think their AI quality problem begins when the first test run starts but it usually begins much earlier.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Zero Data Loss: Migrating Thousands of Microservices
OCBC migrated thousands of microservices, batch jobs, and monolithic applications across multiple regions in just six hours with zero data loss. George Goh shares how six months of planning enabled flawless execution.
Node.js Debugging in VS Code and Chrome DevTools
Node.js debugging allows us to identify and fix errors, unexpected behavior, and performance issues in server-side JavaScript applications. Instead of using the less precise console.log, we can connect a real debugger and control execution step by step. Most Node.js developers actually use one of two distinct setups: This guide will show you how to use both technologies, with a clear step-by-step workflow for each.
Introducing a Smarter Path to Intelligent Testing With Perforce Autonomous Testing
Software teams are under constant pressure to release faster. Yet testing, the safeguard that protects quality, has not kept pace with modern delivery speeds. More code and shorter sprints overwhelm QA capacity, while fragmented tools and late-stage performance checks create bottlenecks that slow everything down. The question is not whether testing needs to evolve. The question is how to evolve without a costly rip-and-replace of your existing stack.
Enterprise test management: Should you build or buy in the age of AI?
AI has opened the door for teams to build tools they previously had to buy. With the right prompts and internal workflows, teams can generate test cases, summarize results, analyze defects, and automate parts of the testing process faster than ever. For enterprise QA and engineering leaders, that raises a practical question: “should we build our own test management layer, or adopt an AI-powered test management platform?” It’s a fair conversation to have.
Will AI Replace Manual Testers? Katalon's Data Says the Story Is More Complicated
If you only follow the loudest headlines, it is easy to believe AI is about to wipe out manual testing. Katalon's State of Software Quality Report 2025 tells a more useful story, and it comes from inside the industry: over 1,500 QA professionals, from individual contributors to senior executives, across North America, Europe, and Asia-Pacific.
8 Top Social Intelligence Tools for Consumer Insights in 2026
Consumers describe products with a candor no survey ever captures. They complain that a moisturizer pills under makeup, praise a headphone hinge that survived a toddler, and debate whether a snack's new recipe ruined it, all in public, all unprompted, and at a volume no research team could read in a lifetime. That running commentary is the largest focus group ever assembled, and it never adjourns.
7 Best Virtual CISO Providers for Operational Technology Environments in 2026
Operational technology environments need a different kind of security leadership. A traditional IT security program usually focuses on users, endpoints, cloud systems, applications, identity, and data. OT environments add another layer: physical processes, industrial control systems, plant uptime, safety constraints, legacy assets, engineering priorities, and production continuity.
Why Fable 5 is an Existential Crisis
#fable5 #softwareengineer #testing #softwaretesting
Introducing AI Transport v0.5.0: durable execution with Steps
AI Transport v0.5.0 is now available. It adds first-class support for running an agent turn inside a durable execution framework, such as Temporal or Vercel's Workflow Development Kit (WDK), while every client watching the conversation still sees one clean, resumable stream. The last release, v0.4.0, let an agent hydrate its history from your own database. This one is about what happens when the process running the agent isn't around for the whole turn.