Systems | Development | Analytics | API | Testing

Monetizing Content Through API for LLM Training

To monetize digital content, we have used means like ad networks, affiliate links, and paywalls. However, with the fast and widespread adoption of AI, demand for high-quality data has increased. To make sure Large Language Models (LLMs) models deliver value and accurate results, a wide spectrum of content is often scraped and trained on without permission or compensation. This includes blogs, product and technical docs, forums, and research papers.

The Developer's Guide to Debugging AI-Generated Code

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

Protecting Sensitive Data in Non-Production Environments: No Trade-Offs Necessary!

Yes, you’ve heard it all before: the frequency of cyberattacks and their devastating aftermath, organizations’ gaps in protecting sensitive data, and the financial consequences of not complying with GDPR and the likes. I am not here to share any old news. But there is a risk that is not discussed frequently enough in the news. And it should be. How often do you suppose data in non-production environments is compromised or fails compliance audits?

Synthetic Test Data vs. Test Data Masking: How to Use Both

To use synthetic test data or to use test data masking — that is the question. But the answer may not be what you expect. Before we dive into that, what’s happening in today’s business landscape that’s prompting the question around synthetic vs. masking? Delivering high-quality applications at lightning speed is expected in today’s CI/CD world. Fast time-to-market is at odds with security and compliance requirements.

Streaming Kafka Events in Real Time via WebSocket APIs

Imagine that you need to know the exact location of the train that you’re about to catch. Trains can be equipped with IoT sensors that can publish location coordinates via Kafka streams in real time. You will be using a mobile application to view a train’s location. Mobile applications and web applications are compatible with WebSocket, a web-friendly protocol, but the location data is received via a Kafka stream. How do we convert the real-time Kafka feed into a real-time WebSocket feed?

Top 10 Logistics App Development Companies

In 2025, the logistics industry isn’t just about moving goods from one place to another, it’s about moving smarter, faster, and more transparently than ever before. With the rise of e-commerce, global supply chains, and heightened customer expectations, logistics companies can no longer rely on outdated systems or manual tracking. Every shipment needs to be visible, every route optimized, and every touchpoint seamless.

3 things to know about Xcode 26 Compilation Caching

In just 4 minutes and 3 questions, Bitrise Solutions Engineer Ben Boral explains how Xcode 26 Compilation Caching cuts iOS build times and how Bitrise Build Cache makes adoption easy. If you want to learn more, join our live webinar on October 21 to see a full demo and ask questions! Bitrise provides a full-stack, vertically integrated mobile DevOps solution that unites the tools, processes and testing frameworks engineering teams need to build best-in-class mobile experiences. Over 400,000 developers use Bitrise’s products: Bitrise CI, Build Cache, Release Management, and Insights.

No-Code REST API Integration for SAP ERP & HANA (2025) | DreamFactory Guide

Learn how to connect DreamFactory to SAP HANA on-premise and get access to HANA and other SAP ERP’s on HANA with a REST API connector. Instantly auto-generate secure REST APIs, integrate with apps, BI dashboards, and AI pipelines—without custom coding.

PII Sanitization with Kong

Using sensitive user data for analytics, development, or training AI models introduces significant security risks like data breaches and costly PII (Personally Identifiable Information) leakage. These incidents can lead to heavy fines and a critical loss of customer trust. Watch this demo to see how the Kong AI Gateway automatically finds and sanitizes PII in real-time before requests ever reach your upstream services or Large Language Models (LLMs).