Systems | Development | Analytics | API | Testing

Synthetic Data Pipelines and the Future of AI Training

Synthetic data pipelines are reshaping how AI models are trained. They generate artificial datasets that mimic real-world patterns, solving challenges like data scarcity, privacy concerns, and bias in training data. These automated systems streamline the entire process, from data creation to integration, offering faster and more scalable solutions compared to traditional methods.

Maximize development efficiency with expert CI/CD strategies: Droidcon talk highlights 2025

Faster builds = faster releases. In this highlight reel from Droidcon NYC 2025, Bitrise Solutions Architect Naveen Nazimudeen shows how build cache magic, smart parallelization, and a sprinkle of CI/CD tweaks can slash Android build times (and developer frustration). Speaker: Naveen Nazimudeen Event: droidcon NYC 2025.

10 Best App Deployment Platforms

In the software development lifecycle (SDLC), deployment is the final step, the one where your app is delivered to users. Traditionally, this has meant installing software on the customer’s premises or hosting it in-house. But this approach comes with significant overhead: With the rise of cloud computing, Software as a Service(SaaS) and Platform as a Service(PaaS), these manual steps are quickly being replaced.

Developer Portal in Kong Konnect

Unlock the full potential of your APIs and accelerate development with the Kong Konnect Developer Portal. This video demonstrates a complete developer journey, from discovery to monitoring, showcasing how a powerful dev portal can foster innovation and efficiency. In this demo, you will see: This workflow highlights how a centralized developer portal is crucial for managing the entire API lifecycle, enabling teams to build, deploy, and maintain applications faster than ever.

10 Best AI-Powered API Gateways for Seamless Automation

APIs are the foundation of modern software ecosystems—connecting applications, services, and databases so information can flow securely and efficiently. But as systems become more complex and businesses demand faster innovation, traditional, manual approaches to API management no longer scale. That’s where AI-powered API gateways come in.

Android App Performance: Best Practices to Build Fast, Efficient Mobile Apps

Did you know more than half of users will bail if your app doesn’t load in under three seconds? That’s not a fun stat. But it’s real, and it shows up fast, especially in high-traffic moments. Take an e-commerce app during a big sale. One delay during checkout, one stutter when loading the cart, and users are gone. That team watched retention nosedive because mobile app performance didn’t hold up under pressure. The problem wasn’t the features. It was the lag.

How to Turn On Dark Mode in Chrome DevTools

Learn how to turn on Dark Mode in Chrome DevTools in just a few clicks. Dark Mode helps reduce eye strain and makes coding in Chrome’s developer tools much easier, especially for long debugging sessions. In this quick tutorial, we’ll show you step by step how to switch themes between light and dark in Chrome DevTools. Whether you’re a web developer, front-end engineer, or just exploring Google Chrome’s hidden features, this guide will help you customize your workspace instantly.

Kong Acquires OpenMeter to Bring API and AI Monetization to the Agentic Era

Today, we’re announcing that Kong has acquired OpenMeter, the open source and SaaS leader for real-time usage metering and billing. OpenMeter’s capabilities will be integrated into Kong Konnect, enabling usage-based pricing, entitlements, and invoicing for APIs, events, and AI workloads. This is a huge milestone for Kong, and we’re excited about what this means for our customers and the future of how you build and scale revenue-generating digital products for the agentic AI era.

Agentic AI in the Enterprise: The Hidden Layer Powering Autonomy

Agentic AI is transforming how businesses operate by enabling systems to handle complex tasks autonomously. Instead of relying on constant human input, these AI systems break down high-level goals into smaller tasks, make decisions independently, and improve continuously through feedback. Here's what you need to know: Key Features: Autonomously manage workflows and processes. Handle multi-step decision-making and problem-solving. Learn and adapt based on performance data.