Systems | Development | Analytics | API | Testing

dreamfactory

From SOAP to REST: Why DreamFactory's Approach to API Design Matters in the Age of MCP

Apr 16, 2025 By Terence Bennett In DreamFactory
REST APIs are now the backbone of modern systems, powering 83% of APIs, while SOAP lags behind at 15%. Why? REST is faster, simpler, and better suited for today’s needs, including AI and MCP (Model Context Protocol). DreamFactory makes this transition easy with automated REST API generation, robust security, and scalability. Here’s what you need to know.
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perforce

The AI Compliance Crisis: Are You Prepared?

Apr 16, 2025 By Perforce In Perforce
Organizations are increasingly adopting AI to make quick decisions, understand data, and automate processes. However, this innovation comes at the cost of navigating complex data and AI compliance regulations. While AI regulations are still evolving worldwide, existing privacy laws and regulatory frameworks already apply to AI implementations. These laws, such as GDPR, CCPA, and HIPAA, create a complicated landscape for businesses.
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EP 19 | Leading in the Age of AI with Dr. Maya Dillion

Apr 16, 2025 By Cloudera, Inc. In Cloudera
As AI becomes a regular topic in boardrooms, many executives face critical blind spots around strategy, governance, and implementation. Few are AI-native, and many struggle to connect high-level goals with practical, accountable systems. In this episode of The AI Forecast, host Paul Muller speaks with Dr. Maya Dillon, an astrophysicist turned AI thought leader and CEO of consultancy XSAIA. Maya emphasizes the need for human-centric leadership in AI and the importance of understanding the holistic impact of AI on businesses.
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speedscale

4 Tips for Developing Model Context Protocol Server

Apr 15, 2025 By Matthew LeRay In Speedscale
The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling. Whether you’re building a dev tool that integrates with LLMs or enabling a context-aware API backend, standing up an MCP server is a rite of passage. But MCP is still in its early days and there are some sharp edges. Here are four practical shortcuts to fast-track your MCP server development so you can skip the boilerplate and get to the good stuff: intelligent tooling.
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keploy

Ai Coding Tools: What'S Working, What'S Not, And Where It'S Headed

Apr 14, 2025 By Shubhra Srivastava In Keploy
AI coding tools are no longer a novelty. From startups to enterprises, developers are using them to accelerate development, auto-generate tests, and build products faster than ever. Some engineering teams claim they’ve become up to 10x more productive with the right AI coding tool in their workflow. To get a real-world understanding of how these tools are being used, we hosted a community discussion with over 70 tech leaders—CEOs, CTOs, and engineering managers.
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ClearML

From Complexity to Control: Overcoming DevOps and IT Leaders' Biggest AI Infrastructure Software Challenges

Apr 14, 2025 By ClearML In ClearML
Artificial Intelligence is transforming the world, but for those managing AI infrastructure, it can feel like they’re being consumed by complexity. AI solutions often promise automation, efficiency, and intelligent decision-making, but behind the curtain, DevOps teams and IT professionals are wrestling with an ever-growing, complex web of software challenges.
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kong

What Is RAG? Guide to Retrieval-Augmented Generation in AI

Apr 14, 2025 By Kong In Kong
When was the last time your AI assistant confused a memo from the CEO with 'Game of Thrones' plot lines? Have you ever asked a chatbot a question, only to receive an answer that was not only wrong but hilariously outdated? Imagine asking about the latest iPhone model and getting a response detailing the iPhone 3G. We've all had moments where technology gives us a chuckle—until it's crunch time.
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tricentis

Why we bet on Anthropic, part 2: Comparing different computer using agents for testing

Apr 11, 2025 By David Colwell In Tricentis
In the prior blog, we previewed some of the reasons that we settled on using Anthropic’s Computer Using Agent (CUA) over other alternatives and promised to provide more information as to what and why, with facts and figures. If you haven’t read that blog, check it out here. In this blog, I hope we can bring to light some of the “why” behind our decisions, and what makes our agentic AI so powerful.
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