The Problem Most Teams Are Trying to Solve Without Naming It

Most software teams aren’t short on tools. They have ticketing systems, CI/CD pipelines, observability dashboards, documentation platforms, chat tools, and now a growing set of AI-powered assistants layered on top of everything else. And yet, many teams still feel slower than they should. The Work Between the Work When teams describe their challenges, they often […]

What Software Teams Should Be Thinking About in 2026 (Before They Buy Anything)

As teams look toward a new year, a familiar cycle starts. Budgets reset. Roadmaps get drafted. Tools get evaluated. Vendors make their case for why this platform or that solution is the missing piece. Before any of that happens, there’s a more important question worth asking: What problem are we actually trying to solve? Technology […]

Why ‘Junior Engineer’ Is About to Become One of the Most Important Roles on the Team

This year, I’ve heard a lot of concern from early-career engineers about their place in the industry alongside AI. That concern is understandable. In 2025, we’ve seen large-scale layoffs from some of the biggest names in software. Many of these companies have framed those decisions as preparation for what they expect from AI, not necessarily […]

AI Is Expanding the Software Engineering Job, Not Shrinking It

I recently had a conversation with a peer who was genuinely worried that we’re all going to lose our jobs to AI. I get where the fear comes from. Every major shift in software has triggered the same concern. We heard it during the rise of the web, the move to cloud, and the spread […]

Intelligent Workflows Are About to Redefine How Teams Build Software in 2026

Every year, companies make predictions about what will change in technology. Most are half right and half hype. But heading into 2026 already feels different, and not just because of shiny new tools or bigger clouds. It feels different because the way teams build software is changing at a deeper level. Over the last year, […]

Advanced AI and Machine Learning Applications in Healthcare

Advanced AI and Machine Learning Applications in Healthcare: Unlocking New Possibilities Artificial Intelligence (AI) and Machine Learning (ML) are transforming healthcare by improving patient care, streamlining operations, and enhancing diagnostic accuracy. As data availability grows and computational power advances, AI-driven tools are becoming increasingly practical for hospitals, clinics, and research organizations seeking measurable improvements in […]

Ensuring Compliance in a DevOps Model: 4 Things to Consider

Just like in other industries, software developers face compliance requirements that they must adhere to. Organizations today need to prove their security stature to customers, business partners, shareholders, government agencies, and other relevant stakeholders. Compliance regulations can be part of internal policy, industry best practices, or actual statutes. In the past compliance requirements were put […]

Technical Debt: What It Means for Your Software Development Projects

Technical debt (TD) is the cost of additional work that arises because of prioritizing the speed of delivery of a piece of functionality in a system or project over accuracy. In many cases, shipping speedily results in the functionality requiring to be refactored later. Tackling technical debt in an organization’s system architecture is important because problems […]

Finding the Right Automation Partner: A Checklist

9 in every 10 businesses in America today use at least one automation tool to improve a process. Business leaders today appreciate the value that automation is capable of driving. However, achieving hyper-automation requires the deployment of dozens of bots to work together to improve efficiency throughout the businesses. Most businesses struggle with hyper-automation. In […]