Food for thought.
Reflections on some of our cases, research on cutting-edge tech & experienced takes on design, development and business.
Reflections on some of our cases, research on cutting-edge tech & experienced takes on design, development and business.

Raleigh, North Carolina, has quietly become one of the most dynamic software development hubs in the United States. Anchored by the Research Triangle - Raleigh, Durham, and Chapel Hill - the city’s tech ecosystem rivals established centers like Austin and San Francisco, combining innovation, talent, and affordability in one powerful package. The area’s universities, including NC State, UNC, and Duke, continuously supply top engineering talent, while its collaborative business climate attracts startups and enterprise innovation labs alike. For companies seeking to design, build, and scale software, Raleigh offers both the infrastructure and the intellect to make it happen.

In software development, few things matter more than consistency and quality. As teams grow and projects scale, maintaining clean, secure, and maintainable code becomes increasingly complex. That’s where Codacy—a leading platform for static code analysis and quality monitoring—steps in to change the game. In this article, we’ll break down what Codacy does, how it improves team workflows, and why it’s become a vital part of modern software engineering pipelines.

In October 2025, OpenAI introduced ChatGPT Atlas, its first AI-powered web browser — and with it, a glimpse into the future of how we navigate and interact with the internet. For developers, marketers, and product teams, this launch represents far more than another browser release. It’s a shift toward AI-native browsing, where conversation replaces search, and the web becomes a workspace for intelligent agents.

AI-driven code review tools are redefining how teams write, maintain, and ship software. Among the growing ecosystem of intelligent assistants, CodeRabbit stands out as one of the most developer-centric solutions — offering automated reviews, pull-request insights, and contextual feedback that feel less like a static linter and more like a senior engineer embedded in your repo. In this article, we’ll explore how CodeRabbit works, what makes it different from other AI code reviewers, and why it’s quickly becoming a favorite for modern engineering teams seeking quality, speed, and confidence in every merge.

In an era where AI code assistants are redefining developer workflows, one tool stands out for bridging the gap between automation and human-readable insight: Qodo (formerly Codium, also known as PR-Agent). Designed for engineers who care about clarity, speed, and code quality, Qodo automates pull request reviews, generates actionable summaries, and boosts collaboration — all while maintaining developer voice and context.

AI coding tools are transforming how developers write, debug, and ship software. While GitHub Copilot popularized AI-assisted code completion, new-generation tools like Cline are redefining what “AI coding” means: moving from predictive text to agentic reasoning and autonomous execution. In this article, we’ll explore the key differences between GitHub Copilot and Cline, how each fits into a modern dev stack, and why the future of coding may rely on both collaboration and autonomy.

Artificial intelligence is no longer a buzzword in software engineering: it’s embedded in how modern teams build, debug, and ship code. Among the first and most influential tools in this new wave is GitHub Copilot, an AI-powered coding assistant trained on billions of lines of public code.