Systems | Development | Analytics | API | Testing

How We Designed a Node.js Production Debugging Experience with AI

Earlier this year, our team launched the N|Solid Extension, a Node.js production debugging and observability tool designed for modern development environments. The goal was simple: help developers investigate production issues without constantly switching between dashboards, monitoring platforms, and their editor. Instead, runtime telemetry, diagnostics, security insights, and AI-assisted workflows could live directly where developers already spend most of their time.

Neobank vs. Challenger Bank vs. Digital Bank: What You're Actually Building

The global financial landscape has shifted from digital-first to digital-only at a relentless pace. As we navigate 2026, the stakes for fintech founders and engineering leaders have never been higher. According to recent data from Fortune Business Insights, the global neobanking market is currently valued at approximately $310.15 billion, with a projected surge to a staggering $7.6 trillion by 2034.

CDSS EHR Integration Best Practices: A Technical Guide for Engineering Teams

Clinical AI projects usually fail during integration, not development. They work well in controlled environments, but production workflows expose problems. CDS Hooks and FHIR payloads can be inconsistent and incomplete. Engineering teams face a challenge: embedding clinical decision support into existing EHR workflows without disrupting care. The problem is not just about APIs. Teams must manage many things, including CDS Hooks, authentication, and latency constraints.

How a Fractional CMO Turns Marketing Strategy Into Revenue Growth

Most growing businesses reach a point where their marketing stops working as well as it used to. The tactics that got them to a certain size aren't scaling. The team is busy but the results are inconsistent. There's no clear owner of the strategic picture, just a collection of activities running in parallel without a unifying direction.

How Multi-Practice Law Firms Can Choose the Right Legal Software

Running a multi-practice law firm is a balancing act. One day you're managing a complex litigation matter, the next you're closing a real estate deal or navigating a family law case. Each practice area has its own rhythms, deadlines, and document demands - and trying to hold it all together with a patchwork of spreadsheets and disconnected tools quickly becomes unsustainable.

We won't train on your data is not a security architecture

Every enterprise contract I’ve signed in the last two years has the same clause. “Vendor will not use Customer Data to train machine learning models.” Sometimes it’s a paragraph. Sometimes it’s a whole section. The language varies but the intent is identical: don’t feed our production data into your AI. I get it. I sign the same clause as a vendor. But here’s what’s been bothering me: that clause is a promise, not an architecture.

How Agentic AI is Rewriting the Rules of Global Trade

Explore how a global supply chain company turned its data platform into a customer-facing product designed to operate at the speed of disruption. Boris Rabkin, Chief Information Officer at Ligentia, shares how the company executed that shift through a deliberate phased approach and a partnership with ThoughtSpot. He breaks down how to build a data foundation that scales, what it takes to embed analytics where decisions happen, and how to structure AI ownership and governance across a global regulatory environment.

Ep 77 | The Rise of VibeOps: How AI Is Transforming Network Automation

For decades, network teams have been forced to choose between speed and stability. AI may finally be changing that equation. In this episode of The AI Forecast, Paul Muller sits down with John Capobianco, Head of AI and Developer Relations at Itential and author of “Automate Your Network,” to explore how AI is reshaping the future of network operations. Drawing on decades of experience in network engineering, John explains why network automation has struggled to gain traction and how AI, agents, and Model Context Protocol (MCP) could finally break the bottleneck.