Systems | Development | Analytics | API | Testing

Based on a sample of data from ~1,000 agencies and 14,000 clients, we estimate that agencies lose about 38% of their clients every year. Based on my 1,000s of conversations with agencies over the years, I think I know one of the big reasons why. Most agencies have been stuck in the same pattern for years: Do good work, report on it, wait for feedback, hope for renewal. They start strong—engaged with the client’s leadership, aligned on strategy and goals, excited to build.

This post will walk through the creation of a realtime chat application with Next.js and deploying it to Netlify.

The world of artificial intelligence is undergoing a seismic shift, with the emergence of agentic AI redefining the landscape of API development and management. As businesses and developers navigate the complexities of digital transformation, understanding the implications of this groundbreaking technology becomes paramount.

As enterprises increasingly embed AI assistants into their core workflows, trust becomes the currency of adoption. Salesforce Einstein Copilot is fast becoming a central productivity layer across CRM, Sales, and Service modules. But with great potential comes greater responsibility, especially for quality assurance teams. Validating the trustworthiness of AI outputs, guarding data privacy, and ensuring reliable decision boundaries are now non-negotiable in enterprise environments.

The race to operationalize private AI at enterprise scale isn’t just about models and algorithms—it’s about infrastructure that refuses to compromise. Welcome to the inaugural post of AI in a Box, a three-part blog series that unpacks how Cloudera, Dell Technologies, and NVIDIA are redefining enterprise AI with a turnkey solution that unifies cutting-edge AI-optimized hardware, intelligent data orchestration and AIOps tooling, and zero-trust governance.

Gone are the days when core banking teams relied solely on long-winded manual test cycles, midnight war rooms and crossed fingers before a go-live. Today, the industry stands at the edge of a seismic shift, driven by the power of test automation. Having worked extensively in the complex and highly regulated world of core banking systems, we’ve seen this transformation unfold firsthand.

Did you know that 20% of API calls result in errors during SOAP to REST migrations? Poor error handling can lead to data loss, system failures, and degraded performance. Here's how to manage errors effectively during migration.

The Patient Access API, introduced under CMS-9115-F, requires health plans, including Medicare Advantage, Medicaid, the Children’s Health Insurance Program (CHIP), and the Qualified Health Plan (QHP) on federally facilitated exchanges to give patients secure, real-time access to their health data via standardized APIs.

Software development has never been more dynamic. With rising complexity, fast deployment cycles, and remote collaboration, developers now rely heavily on powerful tools to streamline their workflows. From writing and testing code to deploying and managing applications, the right set of tools can significantly boost productivity. In 2025, the integration of AI into developer tools is transforming how software is built.

This article first appeared on VentureBeat. Businesses know they can’t ignore artificial intelligence (AI)—but when it comes to building with it, the real questions aren’t What can AI do? It’s What can it do reliably? And more importantly, Where do we start? This post introduces the VISTA Framework, a structured approach to prioritizing AI opportunities.