Systems | Development | Analytics | API | Testing

Have you ever asked an AI assistant to generate code for a framework it doesn't quite understand? Maybe it produces something that looks right, but the syntax is slightly off, or it uses deprecated patterns. The AI is working hard, but it lacks the specific context it needs to truly help you. The Model Context Protocol (MCP) was designed to bridge this knowledge gap by giving AI assistants access to domain-specific knowledge and capabilities they don't have built in.

When we started WSO2 in 2005, there was no question what programming language was right for developing server-side enterprise infrastructure: Java. However, as we go past our 20th year and look ahead at the next 10 to 20 years, it’s clear that we need to reflect on the way forward.

In a high-interest-rate environment, the most expensive asset a bank can hold is a signed partner contract that isn’t generating transaction revenue. For many regional banks, the 4–6 month gap between “contract signed” and “first transaction” is driven by manual compliance reviews, fragmented security processes, and custom integration work that delays go-live. We call this the “Integration Tax.”

DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough. During the last 10 years, microservices-based applications have benefited global enterprises by providing them with massive scalability, greater agility, more highly available systems, and improved operational efficiency.

See how easily Konnect Metering & Billing transforms API and AI traffic management into new revenue streams. We've talked about why 2026 is the year of AI unit economics. There, we explored the "2025 hangover" where organizations realized that without financial governance, AI isn't just a science project but has become a margin-bleeding cost center. But "governance" and "monetization" shouldn't just be buzzwords in a resolution; they need to be part of your active infrastructure.

Today, we're excited to announce Kong Mesh 2.13. Kong Mesh 2.13 delivers full support for Mesh Identity for Kubernetes and Universal mode. Plus, it's been designated as a Long Term Support release, with support for a total of 2 years. But first, what's Kong Mesh for the uninitiated?

Software development has evolved to a point where updates ship more frequently than ever – sometimes multiple times a week. But rapid releases demand equally fast validation. Traditional full regression cycles take too long and can block delivery, especially when only a small feature or module has changed. Delta testing addresses this challenge by testing just the updated areas of the product. It allows teams to maintain quality while delivering incremental improvements quickly.

The next generation of debugging doesn’t depend exclusively on the quality of AI models, but it’s heavily dependent on feeding AI tools the context they need to be useful. AI coding assistants have transformed how we write code. For example, GitHub Copilot, Cursor, and ChatGPT can generate Stripe integration boilerplate in seconds. They'll scaffold your payment flow, suggest error handling patterns, and even write unit tests.