Systems | Development | Analytics | API | Testing

Kong named a Leader in the Forrester Wave for API Management, Q3 2026

Kong is named **a Leader** in *The Forrester Wave: API Management Software, Q3 2026*. APIs used to be about connecting systems to each other. Now they're also how AI agents connect to everything: tools, data, other agents. That shift changes what good API management looks like, and it's where we at Kong have shifted our focus. Forrester's take on where we land.

Remote Debugging in IntelliJ: A Practical Guide

Remote debugging using IntelliJ IDEA offers several benefits. Using this JetBrains IDE, you get interactive breakpoints, variable inspection, and debugging integrated directly with the IntelliJ editor. However you can also introduce configuration complexity and potential security risks if you don’t get it right. IntelliJ has become a favorite of the Bugfender team and in this post we’ll walk through the full setup, from the JVM flag to debugging inside a Docker container.

Top 17 AI Testing Tools

Generating tests isn’t the hard part anymore. Ask an LLM to create Playwright tests, and it will produce hundreds of them in no time. The problem lies in deciding whether those tests are useful, maintaining them as your application changes, and knowing if you’ve even chosen the right tool in the first place. This article compares 17 AI testing tools across 5 categories. We’ll look at what each of them does, where it fits, what makes it different, and where it falls short.

The Risk Behind 103M EOL Node.js Downloads

Legacy Node.js is rarely an awareness problem. It is a risk, cost, and uncertainty problem. Last week, we looked at a striking signal in the official Node.js download data in Node.js Downloads Surge in 2026 as Node.js 24 Takes the Lead. Node.js 24 had become the most downloaded Node.js release, a strong indication that modernization across the ecosystem is accelerating. But something else stood out.

Digital Autonomy in the Cloud Era: Reducing Reliance on Hyperscalers

What would happen if you had to move a mission-critical application off your current cloud platform within the next year? In this webinar highlights reel, experts from Perforce OpenLogic explore why cloud portability, digital autonomy, and operational ownership are becoming strategic priorities for enterprise organizations. The panel opens with a simple but revealing question: How painful would it be to replatform a critical workload in the next 12 months? The answer often exposes hidden dependencies, operational risk, and the true state of an organization's cloud resilience.

Why do my apps keep crashing? 6 causes and how to fix them

An app crash is one of the fastest ways to drain both users and rankings. Many users will uninstall an app after just one crash, and both the App Store and Google Play will penalize crash-prone or unstable apps. At Bugfender, we’ve been investigating app crashes since 2014. In this post we’re going to share all our key learnings, so you can: You’ll come away with a reliable, repeatable way to anticipate app crashes – wherever they happen. This post is generally platform-agnostic.

PropTech SaaS Development: The Capabilities That Make Real Estate Platforms Scale

A scalable PropTech SaaS platform is built in layers: product workflows, multi-tenancy, integrations, analytics, security, and eventually AI. The right sequence depends on the product, but skipping the architectural foundations creates expensive constraints later. That sequencing is an architecture decision as much as a product one.

Essential Tools Every Java Developer Should Know in 2026

Java has stayed near the top of enterprise development for nearly three decades, and a big reason is its ecosystem. The language itself is only half the story - the tools built around it are what make Java teams productive at scale. Whether you're setting up a new project or refining an existing workflow, knowing which tools to reach for saves enormous amounts of time. This guide walks through the core categories of tools every Java developer should be comfortable with in 2026, from build systems to debugging and profiling.

Automated Document Processing: 5 Examples and Key Benefits

Automated document processing, also known as intelligent document processing (IDP), uses artificial intelligence and machine learning to reduce the manual effort required to extract data from paper or digital documents. Why is that vital? As organizations continue to modernize in their workflows, enterprises still need to grapple with enormous volumes of documents, such as invoices, receipts, and contracts. Manual data entry and rekeying of document data creates an operational bottleneck.

How Real Estate Companies Modernize Legacy Reporting with Custom Analytics Platforms

Two dashboards, same portfolio, different occupancy numbers. This is the moment most reporting modernization projects start, and it is usually read as a dashboard problem. The tool gets blamed, a replacement gets scoped, and the divergence survives the migration intact. It survives because it never lived in the dashboard. When occupancy reads 91% on one screen and 94% on another, both tools are usually working correctly. They are faithfully rendering two different calculations of the same concept.