Systems | Development | Analytics | API | Testing

Why orchestrators become a bottleneck in multi-agent AI

Complex user tasks often need multiple AI agents working together, not just a single assistant. That’s what agent collaboration enables. Each agent has its own specialism - planning, fetching, checking, summarising - and they work in tandem to get the job done. The experience feels intelligent and joined-up, not monolithic or linear. But making that work means more than prompt chaining or orchestration logic.

Why Deterministic Queries and Stored Procedures Are the Future of AI Data Access

Executive Summary: As enterprises integrate AI and large language models (LLMs) into their data workflows, the need for predictable, secure, and auditable database interactions has never been greater. Deterministic queries—particularly those encapsulated in stored procedures—provide the guardrails necessary for both human analysts and AI systems to access sensitive data safely.

Copilot vs Cursor: A Complete AI Coding Assistant Comparison

Coding with artificial intelligence is not just a nice-to-have; AI applications in computer programming are becoming integral to modern computer programming workflows. Presently, two primary applications dominate the discussions in this area: GitHub Copilot and Cursor AI. While both applications provide faster coding times and fewer bugs, fewer bugs, and smarter code, they offer such features in extremely different ways.

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

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.

Performance Benchmark Report second half of 2025 for Shopware 6

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.

How to Build REST APIs with Node.js & Express

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.

AI-Powered Loan Management Software Development

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.

Fee Transparency: New Rules for Real Estate Listings in 2026

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.

What Is MCP? Connecting AI Across the Software Delivery Lifecycle

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.

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

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.