The article discusses how the rush to adopt agentic AI is jeopardizing the balance between speed and quality in software development. A survey reveals that most companies lack skilled testers and adequate quality assurance processes, leading to a high rate of failures in AI initiatives. The piece calls for a renewed commitment to quality principles to safely harness AI's potential.

GitLab has introduced the Duo Agent Platform, designed to enhance software delivery with intelligent automation and orchestration. It addresses common bottlenecks in coding, such as code reviews and security checks, by integrating AI agents that assist throughout the software lifecycle. The platform aims to improve productivity while ensuring compliance and governance.

The article argues against the common belief that cloud services are the best option for businesses. It highlights how managing your own servers can be significantly cheaper and more efficient in the long run, while also tackling the irrationality of cloud advocates.

This article discusses the concept of Write-Only Code, where production code is generated by AI and often never read by humans. It explores the implications for software development roles, accountability, and the need for new practices in managing code that cannot be reviewed line by line.

The article discusses Atlassian's recognition as a leader in Forrester's Q2 2025 DevOps Platforms report. It highlights Atlassian's features, such as AI integration and enhanced collaboration tools that streamline software development and improve team efficiency.

Microsoft is leveraging AI agents to enhance DevOps processes, which is leading to significant advancements in automation and efficiency within software development and operations. These AI agents are designed to streamline workflows and improve collaboration among teams, showcasing a competitive edge in the evolving tech landscape.

The article critiques the DevOps movement, arguing that it has led to more complications and inefficiencies in software development rather than the intended improvements. It suggests that the emphasis on speed and automation often undermines quality and collaboration within teams. The author calls for a reevaluation of DevOps practices to prioritize sustainable development over rapid delivery.

The article discusses the complexity of Infrastructure as Code (IaC) and highlights the need for simpler solutions that can streamline the process for developers. It emphasizes the challenges faced by teams in adopting IaC practices and calls for more accessible tools to make IaC easier to implement and manage.

The article discusses the enduring relevance of Java as it reaches its 30th anniversary, highlighting how it has adapted to modern development practices and remains integral to DevOps platforms. It emphasizes Java's ability to evolve without losing its core principles, ensuring it continues to meet the demands of contemporary software development.