Systems | Development | Analytics | API | Testing

The 2026 NAHB International Builders’ Show (IBS) in Orlando brought together building professionals and exhibitors from around the world. As a custom software partner for PropTech and ConTech, we attended to spot the technological shifts shaping the industry. The takeaway: the sector is rapidly modernizing, moving from fragmented tools toward unified tech ecosystems that drive efficiency and scale.

For small enterprises with big ambitions, Tapcart opens up a world of possibilities. Founded in 2017, the Los Angeles–based SaaS company is on a mission to democratize access to world-class mobile commerce tools for every brand. A big part of making that happen is its partnership with Bitrise. Few people have seen the evolution of that partnership more closely than Sahand Ansari.

Modernizing fragile, undocumented APIs can feel risky in conservative enterprises. This guide shows how to prove value safely using a strangler-fig approach, traffic controls, and an API abstraction layer. You will learn how to frame a proof of concept, build a governed façade, and incrementally redirect traffic without disrupting production.

February was not defined by major feature drops. It was defined by process hardening, structured release cadence, and continued runtime iteration across both LTS and Current lines. For production teams, this month reinforced three pillars: This is the technical breakdown of what actually mattered.

We are living through a renaissance in software development. In February 2025, computer scientist Andrej Karpathy coined the term "vibe coding" to describe a new state of human-computer interaction. In this model, developers stop acting like bricklayers—manually laying every line of syntax—and start acting like architects. They design the outcome with natural language, and AI handles the construction, translating their vision into working software.

A unified API serves both external users and internal operators from one contract while enforcing different capabilities and data scopes. It centralizes authentication, authorization, validation, and auditing so every consumer follows the same rules. DreamFactory defines this as one surface with segmented access aligned to jobs-to-be-done. The goal is consistent behavior across channels, fewer duplicated services, and easier change management.

Gartner published a report last week that I think marks a genuine inflection point for how enterprise technology leaders should think about AI strategy. The headline finding: we have crossed a threshold where competitive advantage in the AI era is no longer about access to data — it's about the semantic intelligence wrapped around it. Gartner calls this the "context economy," and they believe it will reshape how software is built, sold, and monetized over the next several years. I agree.

A Response to Gartner’s Latest Research Last week, Gartner published a report titled MCP Servers Will Fuel the Next AI Revenue Surge — Context as a Service (1) that should be required reading for every enterprise technology leader. Then, Kong CEO Augusto Marietti (Aghi for short) wrote out his thoughts on the subject and why context is king. I’d like to continue that conversation.

Data virtualization can help modern organizations solve the complex challenges that come with managing data. With information scattered across multiple systems, accessing data can lead to operational bottlenecks in your organization.

Choosing a software deployment model for modern organizations is complex. Regulatory compliance, data privacy, security, and operational overheads are just some of the factors that need to be considered. These factors can also change over time for reasons ranging from the introduction of new government regulations, to changing business models, to business expansion to new geographies, and more.