Systems | Development | Analytics | API | Testing

Build Real-Time Android Apps with WebSockets and Kotlin

Before we get started on WebSocket integration, it’s worth quickly explaining how building real-time mobile apps used to work – and why issues with lag and latency led engineers to turn to WebSockets instead. Engineers building real-time Android apps struggled to make sure updates were reflected immediately when a user sent them. To solve this, they tried polling, which meant firing off a GET request to the server, say every five seconds, to a /messages endpoint.

Dual MCP Support in Astera AI: What it is and Why it Matters

Enterprise automation didn’t start with AI agents, but they’ve had a much bigger impact than earlier automation methods, such as software scripts or bots. Modern AI agents can do a lot more than tackle repetitive tasks. They can reason through complicated workflows, choose the best course of action, and access tools to execute said action. But to do all this, AI agents require interoperability. They need to be able to connect to numerous tools, databases, services, and APIs.

How to Write a Software Requirements Specification (SRS) Document

A detailed Software Requirements Specification (SRS) document is key to building software that meets both business needs and user expectations. Clear, concise, and executable requirements align project teams, offer clarity on functionality, and act as a single source of truth throughout development. Whether you're using agile, waterfall, or a hybrid approach, this guide will help you craft clear, complete, and testable requirements.

How to Securely Use LLMs with Your Data | DreamFactory AI Gateway

How can I securely connect an LLM to my database?! Get ready to unlock the full power of AI with DreamFactory’s upcoming AI Data Gateway! This new capability empowers teams to securely expose data to AI clients, tools, and agents—without sacrificing enterprise-grade control. RBAC-protected dataset access Fine-grained, zero-trust data exposure Seamless integration with OpenAI, Claude, LangChain & more Machine learning-ready APIs with instant insight delivery.

Beyond the Buzz: Predicting the Next Five Years of Data AI Gateways

Data AI Gateways are reshaping how businesses manage APIs by automating key processes like creation, security, and scaling. These platforms simplify API operations, reduce costs, and improve efficiency, making them essential for enterprises navigating AI adoption. Here's what you need to know: What They Do: Automatically generate APIs, enforce security (e.g., RBAC), and integrate multiple databases. Why They Matter: Tackle challenges like siloed systems, scaling, and AI governance.

How to Fix Flaky Playwright Tests

A few weeks ago during a sprint, our QA team flagged a frustrating issue: a Playwright test that passed locally, failed in CI, then passed again all without any code change. It was slowing us down and shaking confidence across the team. Digging deeper, we found what many engineers face: Flaky tests caused by bad timing, unstable selectors, and missed auto-wait features. In fast-moving CI/CD pipelines, these issues went unnoticed until they broke builds.

Enterprise Data Pipelines for Modern Data Infrastructure

Enterprise data pipelines are no longer mere support systems—they are strategic assets central to analytics, compliance, and operational intelligence. This article offers a comprehensive overview of how enterprise ETL pipelines work, the technologies involved, common challenges, and best practices for implementation at scale in 2025.

Low-Code Data Pipelines for Agility and Scale

As businesses race to become data-driven, the ability to quickly build and iterate on data workflows is more critical than ever. Traditional ETL and ELT processes, while powerful, often require extensive coding, long development cycles, and high maintenance overhead. Enter low-code data pipelines: a modern, visual-first paradigm enabling faster development, broader accessibility, and better scalability.

Perfecto AI: Financial Trading App Stock Simulator

This video demonstrates Perfecto AI in action, showcasing its advanced test automation capabilities within a financial trading app stock simulator. See how Perfecto AI, powered by Perforce Intelligence, eliminates the need for brittle scripts and manual frameworks — instead delivering AI-driven actions and natural language prompts that automate testing processes from setup to validation. Observe how it verifies critical components like graphs, colors, and trends, delivering consistent and reliable results even as user interfaces evolve.