Systems | Development | Analytics | API | Testing

Android Studio and Xcode App Debugging With Breakpoints: How to From Zero

Breakpoints are useful for all kinds of debugging. But for iOS debugging, they’re critical. iOS often veers away from the typical top-to-bottom flow. At the same time, its heavy reliance on async/await can inadvertently lead to concurrency and race conditions. As devs, we need a way to stop the train before it goes too far in the wrong direction. This is what Xcode breakpoints are designed for.

The Rise of Vibe Coding: Why Speed Shouldn't Come at the Cost of Cognitive Debt

We are in the middle of the fastest acceleration in software development that the industry has ever seen. Thanks to highly capable models from technology leaders like Anthropic and OpenAI, we have entered the era of vibe coding—a world where developers describe what they want in natural language and get working software in return.

Identity Passthrough for Hybrid AI | DreamFactory

Hybrid AI systems need secure ways to manage user identities across cloud and on-premises environments. Identity passthrough ensures that AI systems operate under the permissions of the actual user, not a shared service account. This approach reduces risks tied to credential theft, improves auditability, and supports compliance with regulations like GDPR and HIPAA. Key methods for identity passthrough include: Quick Takeaway: For organizations prioritizing simplicity, PHS is a good starting point.

Why your AI Agent needs both a key and a map

You asked Claude to generate a bitrise.yml. It came back clean: right steps, reasonable workflow names, valid YAML. You almost merged it. Then you noticed it’s using before_run instead of step bundles. There are no version locks on steps. The triggers are structured in a format Bitrise deprecated months ago. It’s a valid config, but it would never pass code review. The quality of an agent's interaction with your CI/CD comes down to two things: what it can do and what it knows.

Govern the Full AI Data Path with Kong AI Gateway 3.14

The shift from single-model AI features to multi-agent pipelines is no longer a future concern — it's running in production today. MCP has become the de facto protocol for tool-calling, agent-to-agent (A2A) communication patterns are proliferating, and enterprise teams are wiring together complex AI workflows that span multiple providers, services, and agents. Every hop in that data path is an opportunity for something to go wrong. The challenge is governance.

Introducing Kong Agent Gateway: The Complete AI Gateway for Agent-to-Agent Communication

Kong Agent Gateway Is Here — And It Completes the AI Data Path You had a request going to a model, a response coming back, and a gateway in between to enforce policy. With the right solutions, this becomes manageable pretty quickly.. That world is over. Today's agentic architectures look nothing like that. Agents are delegating tasks to other agents via A2A. These other agents are producing and consuming event streams.

EP20: The Agentic Enterprise

In this episode, *Dr. Sanjiva Weerawarana* and *Asanka Abeysinghe* are joined by WSO2 Chief AI Officer *Rania Khalaf* to discuss what the agentic enterprise really means. The conversation looks beyond AI pilots and explores the architectural foundations needed to make agents practical at enterprise scale. Topics include agents as first-class actors, the platform capabilities required to support them, and why identity, policy, observability, and audit matter in an agentic world. The episode closes with a practical view of what architects should start doing now.

Build vs Buy: The Hidden Costs of DIY MCP Server Infrastructure

You whipped up a simple MCP server prototype over the weekend. It routed a single AI agent to a few internal tools, your demo impressed leadership, and the team asked the dreaded question: "When can we ship?" You smiled and said, "Give me two weeks." Fast-forward three months**.** You’re firefighting expired tokens at 2 AM. The compliance team is camped in your inbox. Your once-elegant codebase is now a distributed systems nightmare. Sound familiar?

How to Use Kotlin Date & Time: Formatting, Strings & More

Choosing the wrong date-time API can seriously snarl up your Kotlin app. Timezone mismatches, formatting bugs, inconsistent timestamps – all of them can seriously drain your time and they’re hard to trace without the right tooling. Kotlin gives you multiple date-time tools – LocalDate, Instant, DateTimeFormatter, and kotlinx-datetime – but each is designed for a specific use case across Android, server-side, and multiplatform projects.