Systems | Development | Analytics | API | Testing

What Is Vibe Testing? A Practical Guide For Developers

Vibe testing is what happens when the way software gets built changes faster than the way it gets tested. For years, QA worked on a simple assumption: developers write the code, testers verify it. That assumption breaks down when the code is being generated by an AI from a plain English prompt. The person shipping the feature may not have written a single line of it – and may not fully understand how it works under the hood.

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.

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.

Best AI Visibility Tracking Tools (2026)

If your brand does not appear when buyers ask ChatGPT, Perplexity, or Google AI Overviews for recommendations, you are invisible to hundreds of millions of potential customers. ChatGPT alone now reaches 900 million weekly users. The shift is clear: buyers now get answers directly from AI engines rather than clicking through to websites.

Introducing the N|Solid Plugin for AI Coding Agents

AI coding agents have quickly become part of the daily workflow for Node.js developers. Whether you're using Claude Code, Codex CLI, OpenCode, Antigravity CLI, or Pi Agent, these tools are great at generating code, explaining implementations, and automating development tasks. But debugging production systems is a different challenge.

Best 7 Virtual CDN (vCDN) Providers in 2026

Organizations no longer deliver content through a single website hosted in one region. Modern digital services power everything from SaaS applications and ecommerce stores to media platforms, gaming environments, APIs, software downloads, and AI-driven applications. Every interaction depends on fast, reliable delivery regardless of where users are located or how network conditions change throughout the day.

7 Best Unstructured Data Tools for Enterprise AI (2026 List)

Enterprise AI depends on data that was never designed for AI. Most business knowledge is not sitting neatly in rows and columns. It is spread across documents, emails, chats, tickets, logs, telemetry streams, PDFs, customer conversations, search indexes, knowledge bases, product content, operational systems, and digital experience platforms.

How AI Agents Actually Work in Testing: Inside True Platform's Agentic Workflow

"Agentic" is the word of the year in software marketing. Every product that sends an automated email is agentic now. Every tool with a chatbot interface is powered by AI agents. The term has been stretched to the point where it tells you almost nothing about what a product actually does.

Shadow AI Detection: The Enterprise Governance Guide

Shadow AI detection is the practice of finding and governing unsanctioned AI tools, models, and API integrations that employees deploy without security approval. It has become urgent because these tools route live enterprise data to external models in real time, and traditional security stacks cannot see them. The 2026 Cordyceps disclosure, which exposed identical AI-generated vulnerabilities across 300+ GitHub repositories, showed how fast ungoverned AI can turn into a supply-chain crisis.

The Future of Data Engineering & AI with Henry Clavo

In this episode of Data Builders Club, Henry Clavo shares lessons from over a decade in data engineering across healthcare and government, exploring what it really takes to build reliable data systems in the age of AI. From ETL best practices and data quality to AI hallucinations, observability, and the future of data engineering careers, this conversation is packed with practical insights for modern data teams.