Systems | Development | Analytics | API | Testing

Real Outcomes with Appian: How Customers Achieve Speed, Scale, and Efficiency

Jan 28, 2026 By Appian In Appian
What does real transformation look like in practice? Across industries, organizations are using Appian to simplify complexity, automate mission-critical work, and deliver measurable results fast. In this customer montage, hear directly from leaders who are driving meaningful change with the Appian Platform. From reducing onboarding from six months to just four days, to achieving immediate efficiency gains and scaling to thousands of clients without adding headcount, these stories show how organizations are evolving as the world changes.
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tideways

Performance Benchmark Report second half of 2025 for Shopware 6

Jan 28, 2026 By Benjamin In Tideways
How does your Shopware 6 store’s PHP backend performance compare to other operators of Shopware in general? To answer this question, we have aggregated and anonymized performance data from over 200 Shopware 6 stores over the second half of 2025 and computed benchmark numbers to compare to for the most important page types: Product details, Category, Search, and Homepage. We previously made these benchmarks for 2025 Q1, and 2025 Q2. Going forward, these will be published every 6 months.
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dreamfactory

How to Build REST APIs with Node.js & Express

Jan 28, 2026 By Kevin Hood In DreamFactory
In today’s fast-paced digital environment, REST APIs have become the backbone of modern application development, powering seamless communication between clients and servers. For developers, understanding how to build efficient and scalable REST APIs is essential. This article unpacks the foundational steps of creating REST APIs using Node.js and Express, offering actionable insights for building dynamic server-side applications.
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honeybadger

Code coverage vs. test coverage in Python

Jan 27, 2026 By Muhammed Ali In Honeybadger
If you have been writing tests for a while, you have probably encountered code coverage and test coverage. These concepts can be difficult to differentiate because they are somewhat intertwined. In this article, you will learn what code coverage vs test coverage means, and the basis of these concepts. You will also learn the key differences between code coverage and test coverage in Python. You would discover tools, techniques, and best practices to improve your testing strategy.
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antino

AI-Powered Loan Management Software Development

Jan 27, 2026 By Radhakanth Kodukula In Antino
The world has really come a long way due to widespread digital transformation adoption! And, it’s no secret that it has changed the FinTech sector drastically. In light of this evolution, it has become imperative for lenders to adapt and refine their operations with a well-defined Loan Management System.
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oril

Fee Transparency: New Rules for Real Estate Listings in 2026

Jan 27, 2026 By Roman Havrylyuk In ORIL
Fee transparency in rental listings is no longer a design or disclosure detail, but a regulatory and commercial requirement for real estate and PropTech platforms. Recent FTC enforcement actions and accelerating state legislation now say that pricing logic must be explainable, consistent, and defensible across every channel where rent is shown. Real estate companies using listing platforms, PMS tools, marketplaces, or leasing experiences now need to update their sites and comply with the new regulation.
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What Is MCP? Connecting AI Across the Software Delivery Lifecycle

Jan 27, 2026 By Perforce In Perforce
AI promises speed and automation — but most teams are still stuck jumping between disconnected tools across development, testing, and operations. In this video, we introduce the Model Context Protocol (MCP) and how it enables AI assistants to securely access tools, systems, and real-time context across the software delivery lifecycle. MCP is the foundation of Perforce Intelligence, allowing AI to: The result: less friction, faster feedback, and AI that works with your existing systems — not around them.
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dreamfactory

Identity Passthrough for AI: Why Your LLM Needs to Know Who's Asking

Jan 27, 2026 By Nic Davidson In DreamFactory
When a user asks your AI assistant a question, who actually runs the database query? In most enterprise AI deployments, the answer is troubling: a shared service account with broad access to everything. The user's identity evaporates the moment their request enters the AI system. This architectural pattern creates security gaps, compliance failures, and data leakage risks that undermine enterprise AI adoption.
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perforce

What is an MCP? Breaking Down the Model Context Protocol

Jan 27, 2026 By Perforce In Perforce
70% of teams are already integrating generative AI tools into their daily workflows, according to our 2025 State of Game Technology Report. Now more than ever, teams are looking to connect their AI tools to the services and applications they rely on to get work done. To address this issue, the industry has begun to standardize using the Model Context Protocol (MCP) to connect their existing tools and LLMs like Claude, GPT, and Gemini.
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kong

Building Secure AI Agents with Kong's MCP Proxy and Volcano SDK

Jan 27, 2026 By Eugene Tan In Kong
Modern AI applications are no longer just about sending prompts to an LLM and returning text. As soon as AI systems need to interact with real business data, internal APIs, or operational workflows, the problem becomes one of orchestration, security, and control. The challenge is to build secure AI agents without embedding fragile logic or exposing sensitive systems directly to a model. This is where a layered architecture using Volcano SDK, DataKit, and Kong MCP Proxy becomes compelling.
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