A real-world case study from MFT Energy demonstrates how a team achieved high performance and robust systems using pure Trunk-Based Development, challenging conventional fears of continuous integration. This detailed account, backed by data and team surveys, highlights the benefits of fast flow practices while revealing unexpected challenges with non-blocking code reviews.
A recent analysis identifies six critical areas for backend developers, stressing the importance of deep architectural understanding over specific language proficiency. This guide outlines the essential skills needed to build robust, scalable, and secure systems.
A new strategy is transforming disorganized GitHub projects into efficient, well-structured environments. This approach leverages automation to streamline development, reduce friction, and enhance project security and maintainability.
An 'Ask Us Anything' session dives into the perceived shift from MCP to 'skills' in AI, alongside the evolving roles of platform engineering and cloud infrastructure. Experts debate the future of developer tooling and AI integration, highlighting critical industry shifts.
Industry discussions reveal a critical gap between AI hype and production reality in DevOps, with current models achieving only 70% accuracy. This article explores practical AI applications and the foundational knowledge still required for engineers.
Industry veterans Dave Farley and Daniel Turhus North delve into practical strategies for scaling software engineering culture, moving beyond abstract concepts to actionable frameworks and behavioral shifts.
The journey from a working machine learning model in a notebook to a robust, scalable production system is fraught with unique challenges. Discover how MLOps provides a comprehensive framework to overcome these hurdles, ensuring reliable and continuously evolving AI solutions.
A new approach leverages AI to automate the entire lifecycle of Kubernetes incident management, promising an end to manual 3 AM debugging sessions. This solution covers detection, root cause analysis, remediation, and validation with a strong emphasis on security.
A prominent but unnamed web-based company dramatically reduced feature lead times and improved software quality by embracing pair programming, challenging conventional development wisdom. This case study offers compelling data on the benefits of collaborative coding practices in a modern agile environment.
A new deep-dive evaluation challenges standard LLM benchmarks, revealing critical performance gaps and unexpected leaders for agent-based technical workflows. Discover which models truly deliver for Kubernetes operations, policy generation, and complex troubleshooting under real-world production constraints.
Mark Richards explores how an Architecture Definition Language (ADL) combined with Architecture as Code principles can rigorously enforce architectural constraints. Learn how ADL transforms design principles into executable tests, ensuring architecture alignment.
A 13-year test automation veteran declares the 'death' of traditional QA, emphasizing the immediate need for DevOps skills to stay relevant. This article explores how AI and advanced infrastructure are reshaping testing roles and what engineers must learn to thrive.
A lead architect's proposal to split an 8-year-old Python monolith into 47 microservices within six months has sparked a heated debate within the developer community. This report dives into the arguments, evaluating technical feasibility, organizational scale, and the true meaning of 'insanity' in modern software architecture.
A recent widespread outage in AWS's critical US-East-1 region disrupted vast swathes of the internet, sparking a vital conversation about cloud architecture, service provider reliance, and developer best practices. The incident underscores the fragility of centralized systems and the imperative for resilient design.
Unpacking the intricate processes behind scaling software from individual projects to large enterprise solutions. This article explores team structures, code management, deployment strategies, and infrastructure considerations crucial for high-growth tech initiatives.