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.

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.

In the race to ship features faster, teams often face a hidden cost: technical debt. Like financial debt, it allows you to move quickly in the short term, but if left unmanaged, it can slow innovation, increase maintenance costs, and strain your engineering culture.