Category: Developer Productivity

Value-Stream-Oriented Kanban

Discover how value-stream-oriented Kanban can transform your software development process. This blog post explores how Kanban helps you see the big picture—from initial ideas to final delivery—ensuring every step adds real value for customers and your business. Find out how to set up a Kanban board that truly captures your products lifecycle, pinpoints bottlenecks, and smooths out your team’s workflow for better productivity.

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Self-organizing companies don’t need managers but coaches

This article advocates for self-organizing companies where coaches replace traditional managers, emphasizing the benefits of adaptability, resilience, and a collaborative culture over hierarchical structures, and invites discussion on the evolving role of leadership in modern organizations.

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May the LLM be with You – On Planes and German Trains

This article explores the use of local Large Language Models (LLMs) as coding companions during travel, offering insights into the practicality and performance of offline LLMs for software development tasks. I share my recent experience of using these tools while flying, addressing the challenges of coding without internet access and evaluating the effectiveness of LLMs in providing coding assistance and overcoming connectivity and privacy limitations.

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How Testing and Quality Assurance Change Through AI (AI for DevEx, Part 3)

This article, part of the “AI for DevEx” series, explores the role of AI in software testing and quality assurance. It examines AI’s potential in automating test case generation and UI/end-to-end tests, and reviews tools like ZeroStep and auto-playwright. The piece highlights the integration of testing in the development process and the current best use of AI in supporting test creation and testability. It concludes by anticipating future AI advancements in testing and code reviews.

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Writing and Improving Code with AI (AI for DevEx, Part 1)

In ‘Writing and Improving Code with AI’, part of the AI for DevEx series, we examine the impact of AI tools like ChatGPT, GitHub Copilot, and AWS CodeWhisperer on software development. The article highlights real-world applications of these tools in code writing, improvement, and testing, underscoring the balance between AI assistance and human expertise in coding.

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