AI code generation is at a Pareto threshold. The first 80%—writing simple, functional snippets—is relatively straightforward. But the last 20%? That’s where it gets tricky. Building resilient, adaptable systems isn’t just a technical hurdle; it’s a leap of imagination and engineering, similar to the journey toward self-driving cars. Remember when everyone thought fully autonomous vehicles were “just around the corner”?

What are your test failures really telling you? Here’s how to reduce the noise in your test failure rates so you can identify the critical issues that need your attention most.

Application programming interfaces (API) play a critical role in the digital ecosystem. This online middleman allows software systems to communicate with each other. But what is it exactly, and how does it work? Case in point: When you use an app to check the weather today, the API pulls data from the weather service and shows you the information on your device.

The emergence and growing adoption of generative AI and the agreement to and implementation of the EU AI Act uncannily coincided. These two factors have catalyzed an AI renaissance within many enterprises. Yes, companies were already applying AI here and there across their organizations — but responding to the impact of these two exogenous forces required a whole new way of thinking and doing. All of a sudden, all eyes were on AI.

The focus of this blog is to provide step-by-step instructions for deploying and configuring Kong Mesh with Kong Konnect on an AWS ECS instance so that anyone will be able to get pre-production installation of Kong Mesh standing up on their own.

In government agencies around the world, large enterprise legacy systems are what stand in the way of desperately needed modernization programs. Such legacy systems can be large enterprise resource planning (ERP) implementations or custom-built applications using complex codebases. Simply put, they are not supportable, upgradable, and do not provide the rich user experience customers have become accustomed to.

The financial services (FinServ) industry is constantly evolving and scaling, with global investment hitting $210 billion in 2022. Digital transformation has brought millions of customers online, and their demand for a smooth, secure, and responsive experience from financial institutions is growing fast. As the industry grows, challenges are inevitable – it seems like every week there’s a story in the news about an outage or data breach at a financial institution.

Well, the answer is yes, and this is known in software testing as codeless automation testing. Software development is a fast-moving industry and quick action becomes a necessity rather than an option. This revolutionary idea provides unique ways by which QA teams can be able to design, conduct, and manage their tests hence improving the speed of software delivery.

I host two podcasts, Software Engineering Daily and Software Huddle, and often appear as a guest on other shows. Promoting episodes—whether I’m hosting or featured—helps highlight the great conversations I have, but finding the time to craft a thoughtful LinkedIn post for each one is tough. Between hosting, work, and life, sitting down to craft a thoughtful LinkedIn post for every episode just doesn’t always happen.

With its ability to link billions of objects and produce previously unheard-of volumes of data, the Internet of Things (IoT) has erupted onto the technical landscape. IoT is changing daily life and industries, from wearable and smart homes to industrial automation and linked cars. However, there are specific difficulties in guaranteeing quality, dependability, and security in this networked environment. Strong IoT testing is becoming essential rather than optional.