DevOps


The WorkingMouse DevOps Report provides a comprehensive checklist for ensuring successful software development and support. It outlines key criteria for projects, such as pipeline state, testing coverage, production environment readiness, and documentation. Projects are assessed using a traffic light system (🔴, 🟠, 🟢) to track their progress and completeness. The report emphasizes the importance of investing in these features to maximize project success and operational efficiency, reflecting WorkingMouse's commitment to quality and best practices in DevOps.


In February 2024, WorkingMouse shared insights on "Composite AI & Models for Modernising Government Services" with the Queensland Government Customer and Digital Group. Composite AI involves combining various AI tools to leverage their strengths and address their weaknesses. Key updates include using AI tools like CoPilot for coding, optimizing problems, platform engineering, team topologies, and modeling for shared understanding. The session highlighted the importance of human oversight alongside AI to ensure accuracy and quality. For more details, see the presentation slides and case studies linked.


DevOps, particularly through CI/CD pipelines, improves software development by automating processes, reducing manual errors, and increasing efficiency. It emphasises quality assurance with built-in testing tools and empowers teams to manage releases independently. In 2024, DevOps practices like automation, improved visibility, and modern tool integration help teams deliver high-quality software faster and at a lower cost.


Jörn Guy Süß, Head of Research and Development at Codebots, recently spoke at the WorkingMouse office about his presentation at the 2022 MODELS Conference in Montreal. MODELS is a leading conference on model-driven software and systems engineering. Jörn discussed his paper published in the International Journal on Software and Systems Modeling, which highlights the shift from unreliable manual model-driven workflows to modern, repeatable processes using advanced frameworks. His talk delved into the relevance of continuous integration (CI) in model-driven engineering, challenges in applying CI to models, and solutions such as reusing the Ant build system.

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