Application support is often treated as a reactive function, but that approach quietly limits performance, scalability, and long-term growth. This post explores how Application Managed Services shifts support from break/fix to a proactive, strategic capability that keeps systems healthy and aligned with business goals.
Vibe coding lets you build working software fast, with minimal planning and no formal specifications. That makes it a powerful tool for discovery, prototyping, and early alignment — and a risky one if those prototypes quietly become production systems. The teams that get this right don't debate whether it's real engineering. They know when to vibe and when to apply enterprise rigor.
Most codebases don't fail dramatically, they degrade gradually. At Emergent Software, our Custom Software Codebase Assessment uses a combination of automated tooling and senior engineer review to evaluate architecture, security, maintainability, and technical debt. Here's what separates an "A" codebase from the rest, and where to start if you want to improve.
Choosing a custom software development partner? Learn 10 key criteria — from agentic AI to enterprise scale — to find a firm that delivers long-term value.
Not every business problem needs an AI solution — but the ones that do deserve a thoughtful approach. Principal Software Architect Aaron Varga shares a practical framework for evaluating AI readiness, navigating the build vs. buy decision, and avoiding the pitfalls that derail most AI projects.
Legacy application modernization in 2026 is about more than moving systems to the cloud. It’s about reducing risk, improving reliability, and enabling businesses to evolve without disruption. In this blog, we explore practical strategies for modernizing legacy systems incrementally while maintaining operational stability.
In this blog, Mike Trent breaks down why choosing the right software development model is so important, what makes each major SDLC approach unique, including its strengths and potential pitfalls, best use cases for each model, and how to evaluate which model best fits your project goals.
This post lays out core principles, patterns, and pitfalls and invites you to download the full PDF guide, which includes detailed checklists (hiring, prompt governance, review policies), case studies, and architectural decision templates.
Over the past year, many organizations have jumped headfirst into AI experimentation. Whether it’s trying out Copilot for Microsoft 365, automating repetitive workflows with Power Automate, or testing small GPT-based chatbots. These tools are powerful for individual productivity, but as soon as the use cases grow complex, new challenges arise... That’s where Azure AI Foundry comes in.
After working with dozens of clients across industries, I’ve noticed a clear pattern: the same five pitfalls appear again and again. These challenges don’t just slow progress, they can derail promising projects entirely. If you’re planning your first AI initiative, here are the five most common mistakes to avoid, and what to do instead.
Emergent Software offers a full set of software-based services from custom software development to ongoing system maintenance & support serving clients from all industries in the Twin Cities metro, greater Minnesota and throughout the country.
A software development and consulting company serving clients from all industries in the Twin Cities metro, greater Minnesota and throughout the country.
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