#Developer-Experience

Code reviews are essential for maintaining code quality and fostering team collaboration. While pair or team programming is often preferred for immediate feedback, asynchronous code reviews are a valuable alternative when real-time collaboration isn't feasible. This article explores the challenges of asynchronous code reviews, such as delayed feedback and less effective communication, and offers practical strategies to their effectiveness. Key recommendations include providing timely feedback, setting clear expectations, focusing on test coverage, staying curious, and using code reviews as learning opportunities. Adopting these practices can ensure high-quality code, promote knowledge sharing, and maintain a strong collaborative dynamic, even when working asynchronously.

Keeping developers focused and in the zone can boost productivity by 50%. But how do you create such an environment? Beyond cutting down on meetings, this article offers eight practical tips to help your team work better. From working together on tasks to writing clear documentation, find out how to make your software team more productive and less stressed.

This started as a rant, not meant to be published. But sticking to my "New Year's resolution" to write about what triggers me most, I decided to publish it anyway. I wanted to publish it as a LinkedIn post, but it got too long. So here is the unshortened, unpolished and authentic original version of this document, most of which I wrote on my phone after waking up on a Sunday at 5:45am. 😬

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.

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.

This article explores the transformative role of Large Language Models in enhancing software development productivity. It delves into AI's integration in coding, collaboration, and automation, offering insights for engineers to harness AI in their daily tasks.

Discover how AI tools are reshaping deployment, operations, and security in software development, as detailed in 'AI for DevEx, Part 5'. This article delves into the roles of AI in enhancing monitoring, vulnerability scanning, and error resolution, offering insights into the evolving landscape of AI in software engineering.

Explore how AI enhances synchronous and asynchronous communication, collaboration, and documentation in 'AI for DevEx, Part 4'. Learn about AI tools improving meeting efficiency, message clarity, and documentation value, and how AI might shape future communication.

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.

Discover how OpenAI's custom GPTs are changing software development. Learn about their benefits for efficiency and teamwork, and see real examples of how they're used. Ideal for developers and leaders looking to stay ahead in tech.