Systems | Development | Analytics | API | Testing

Essential Guide to API Documentation: Best Practices and Strategies

Clear, effective API documentation is a crucial and rapidly expanding component of software development. Solid documentation provides all the necessary information a developer needs to integrate with an API so that they can avoid spending hours troubleshooting and context switching. It reduces the need for additional support from other teams, encourages more users to adopt the API, and creates a seamless developer experience for overall satisfaction.

Services, Multizone & Load Balancing: Combining it all Together in Kong Mesh

Services are the core component of service meshes. But what does it mean to send traffic from a workload to a service? What is the identity of a service? How does configuration apply to services? How do services interact when your cluster is multi-zone? Kong Mesh recently accomplished a major overhaul of its service to make them more intuitive and easier to manage that we want to share.

Comparing AI API Gateways

AI Gateways are rapidly becoming essential tools for businesses leveraging artificial intelligence and large language models (LLMs). Traditional API Gateways have evolved to meet the demands of modern AI workloads, offering features that cater to the unique requirements of AI/ML applications. These include advanced routing for models, latency management, and comprehensive analytics to optimize performance.

The Evolution of Enterprise AI: Navigating the Risks and Rewards of an Emerging Landscape

AI is moving at breakneck speed – can your enterprise keep up without breaking down? As businesses race to adopt AI, the push for innovation is relentless. But while AI promises to accelerate development and unlock new opportunities, it also opens the door to unforeseen risks. Malicious models, supply chain vulnerabilities, and unpredictable behavior can derail even the most well-intentioned AI initiatives.

What AI code editors means for API development

AI-powered code editors are speeding up API development by automating repetitive tasks, improving security, and optimizing performance. Developers now spend 55% less time on API creation, focusing more on design and business logic instead of boilerplate code. These tools reduce errors, generate real-time documentation, and enhance scalability, making API development faster and more efficient.

How To Use Junit On Vs Code: A Comprehensive Guide

Java developers love JUnit for its simplicity and power in unit testing. As a trusted testing framework, JUnit has become the backbone of many testing strategies. But with the rise of lightweight and flexible editors like Visual Studio Code (VS Code), many developers wonder how to effectively integrate JUnit into this environment. This guide will show you step-by-step how to set up JUnit on VS Code, ensuring you can write, run, and debug your tests effortlessly.

Top API Metrics to Track for Product-Led Growth

Product-led growth hinges on delivering exceptional user experiences. If you build a great product with valuable features, users are bound to come and stick to your services. But companies often neglect the role of APIs. Modern software relies heavily on APIs for integrations, automation, and data exchange. Not to mention, for API or API-first products, APIs drive the most crucial pieces of success goals. A poorly performing API creates friction, frustrates users, and impedes growth.

Intro to proxymock, a free traffic-based service mocking tool within VS Code.

Speedscale's proxymock is a free VS Code plugin that passively listens to transactions, so developers can replay past responses or inbound transactions like a time machine. Past transactions can serve as non-rate-limited service mocks, editable databases, or even regression/load/chaos tests. Building service mocks to serve as service virtualization/mocks can be time consuming and manual. Maintaining complex, shared environments for engineering incurs expensive cloud costs and aren't often accurate.