Systems | Development | Analytics | API | Testing

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.

Streamline API testing with Proxy Mock! Capture, mock, and replay API calls locally

Alan Mon introduces Proxy Mock, a powerful tool for capturing and replaying API calls. Learn how to effortlessly record inbound and outbound API requests and responses. The demonstration highlights how Proxy Mock operates entirely on your local machine, eliminating the need for cloud services or internet connectivity for testing. See how to set up Proxy Mock, inspect captured API calls (including request/response headers, body, and unique signatures), and leverage it to mock API responses for seamless local testing, ultimately boosting productivity and reducing the need for costly non-production environments.