Systems | Development | Analytics | API | Testing

CI/CD Testing: Complete Guide To Continuous Testing (2026)

CI/CD testing is the practice of running automated tests throughout a Continuous Integration and Continuous Delivery (CI/CD) pipeline to validate every code change before deployment. By automating unit, integration, API, and end-to-end tests, teams can catch bugs early, improve code quality, and release software faster with confidence.

Quality People: Gastón Marichal on Why Agentic QA's Hardest Problem Isn't the Technology

A conversation with Gastón Marichal, QA Manager at QAlified, on why the hardest part of agentic QA has nothing to do with the technology. In the first installment of this series, we heard from Huy Tieu, a Katalon product manager building an AI quality companion from the inside. This time we wanted the other side of the table: someone who has to make agentic QA work for real client teams, on real delivery timelines, with real consequences if it goes wrong.

12 Best Contract Testing Tools In 2026

I’ve watched enough production incidents get traced back to a "small" API change to know this: contract testing tools exist because integration bugs are expensive, and most teams find that out the hard way. One service changes a response field, nobody notices until a downstream consumer breaks in production, and now three teams are on a call at 11 PM figuring out whose change caused it. Most "best contract testing tools" lists just dump fifteen names on you with no structure.

AI tip #2: Improve pull requests with AI

AI tip: For pull requests, let your AI agent take the first pass before your team ever sees it. That's the workflow Ilia Mogilevsky, Software Engineering Manager at SmartBear, built. By packaging prompts into a skill loaded with Git history, Jira context, and CI checks, he turned a basic AI assistant into a reviewer he trusts. The skill then generates a structured report with approval-ready fixes. Accept the changes, adjust what's off, and push – review cycles shrink and deploys move faster.

The 3 Simple Questions Tech VPs Wish You'd Ask

Managing a $3 BILLION supply chain comes down to just 3 simple questions... @swirecoca-colausa6473’s VP of Data, Bharathi Rajan, reveals why you need to ditch the complex frameworks and AI hype before you try to scale. ThoughtSpot’s Cindi Howson drops the ultimate truth bomb: Stop waiting for "perfect" infrastructure. Use what you have today to win. Tune in to for the full blueprint! Music: “The Clermont” by Flash Fluharty Licensed via PremiumBeat, ID: P9IHFMDYNZCKLEFZ.

MLS Data Normalization at Scale: The Architecture Behind Fast PropTech Expansion

Your frontend can look flawless — fast search, clean filters, a map view that renders in under a second — and none of it will matter the day you connect your fifth MLS. Somewhere between the second and third regional feed, most PropTech teams hit the same wall: the code that worked beautifully for one market starts breaking in ways nobody predicted. A field that was always a number is suddenly a string. A boolean flag for “has pool” shows up as free text in the new feed.

How Build Cache for React Native works: caching the C++ your CI keeps recompiling

A React Native build is really two builds stacked on top of each other. On Android, Gradle compiles your Kotlin and Java, then drops down into cmake and ndk-build to compile the C++ that ships inside Hermes, Folly, ReactCommon, and your own turbo modules. On iOS, Xcode does the equivalent: Swift and Objective-C on top, the same C++ underneath via Clang. Two build systems, two languages on top, one shared set of C++ underneath.