Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
WSO2 Launches 'Fair Pricing for Governments' Initiative
New index-based pricing model aims to offer governments worldwide equitable access to world class technology, software independence.
Top 10 Tools For Integration Testing In 2026
Modern applications depend on multiple services, APIs, databases, and third-party systems working together. While unit tests validate individual components, most production issues occur at integration points. That’s why integration testing tools are essential for ensuring system reliability. In this guide, we cover the top 10 integration testing tools for 2026, a quick comparison to help you choose the right one, and how these tools fit into modern CI/CD and DevOps workflows.
Building Reliable AI Writing Tools: Lessons From Developing Textero
Creating AI writing tools is messier than you’d think. You start with this grand vision of an assistant that actually helps people write better, not just spits out generic text. Then reality hits. Models hallucinate. Users have wildly different needs. And suddenly you’re facing questions about responsibility, accuracy, and whether you’re building something genuinely useful or just another gimmick.
Why Your AI Code is Breaking (And How to Fix It) #speedscale #aicoding #aiagents #code #devops
New data from CodeRabbit shows AI makes 70% more errors than humans—mostly in logic. Stop shipping "AI Vibes" to production. Use the new Testing Pyramid: Deterministic (Validation) Record & Replay (Mocking) Probabilistic (Vibes) Don't let your agents break prod.
The 6 Best Performance Testing Tools Guide
In software development, load testing plays a critical role in ensuring that applications perform optimally under any imaginable load condition. To do this, developers subject applications to several types of load tests, including scalability, spike, endurance, and stress testing. The ultimate goal of these performance tests is to pinpoint potential bottlenecks and ensure the reliability of the overall system where the software application runs before reaching production.
Runtime Validation vs Static Analysis: Why You Need Both
Runtime validation does not replace static analysis. They solve different problems. Static analysis catches structural defects in code before it runs. Runtime validation catches behavioral failures by testing code against real production traffic. Enterprise teams adopting AI coding tools need both layers because AI-generated code introduces a new class of defects that neither layer catches alone.
Oracle JDK to OpenJDK: A Guide to Reliable Migration Testing
One of the most common infrastructure changes Java developers and operators are dealing with today is the migration from Oracle Java to OpenJDK. The reason is the licensing changes made by Oracle and the maturity of the OpenJDK distributions. The migration process is quite simple: replace the JDK, recompile the code, and redeploy the application. However, the differences between the two runtimes can lead to unexpected issues that are not caught by unit tests.
Featured Post
Reimagining Centralised API Management with Gateway Federation
In today's digital-first economy, APIs are the backbone of modern applications and securing them is essential. They enable innovation, accelerate time-to-market, and drive seamless integration across platforms. Yet, as organisations scale, the complexity of managing APIs across diverse environments such as cloud, on-premises, and hybrid becomes a formidable challenge. Enter API Gateway Federation: a transformative approach to centralised API management that balances control with flexibility.
Speedscale Named in Gartner Market Guide for API Testing
In the highly dynamic environment of modern engineering, an appropriate strategy for API quality is more important than ever. We are pleased to announce that Speedscale has been named in the latest “Market Guide for API and MCP Testing Tools” report from Gartner. As software development is shifting towards complex distributed architectures, integrating Model Context Protocol (MCP) for AI-based workflows, the need for realistic testing has never been higher.