Exploring the landscape of GitHub alternatives, from self-hosted options like Gitea and GitLab to federated platforms like Tangled.sh and minimalist tools like SourceHut. A deep dive into the pros, cons, and key features developers are looking for.
A guide for developers on adopting AI coding assistants, covering top tools like Cursor and Claude, effective workflows like maintaining a context file, and best practices to avoid common pitfalls.
An analysis of why Git became the dominant version control system, exploring the crucial roles of GitHub, network effects, and the Linux kernel in Mercurial's decline.
An analysis of the creative ideas, such as a lightweight UI, versus the serious legal risks, like cybersquatting, that come with owning a domain containing a major brand's trademark.
Discover the AI developer assistant setups that professionals are actually using to boost productivity. From combining Claude and Copilot to self-hosting models, learn about the workflows that work best in 2025.
Developers share their real-world experiences as companies push for AI adoption. Explore the spectrum of policies from forced use to outright bans, and learn where AI tools actually help versus where they hinder productivity.
Feeling underwhelmed by AI's impact on your coding productivity? Discover the specific strategies and targeted use cases that developers are using to achieve real gains, moving from hype to helper.
Discover why the real productivity killer isn't app switching but context switching. Learn how a 'GitHub for collaboration' model can automate the workflow between chat and task management, eliminating the collaboration tax.
Developers are moving away from the Cursor AI editor due to its new data-sharing policies. Discover the privacy-first alternatives they're adopting, including Claude Code and the open-source Continue.dev.
Solo developers share their project planning strategies, moving from tools like Trello to simpler methods like `TODO.md`, paper notes, and GitHub Issues, emphasizing customer focus and minimal overhead.