Explore effective strategies for small teams to maintain productivity and alignment with minimal process, from simple text-based task tracking to robust, lightweight methodologies like XP and advanced tools like org-mode. Discover how the right structure—or lack thereof—can empower experienced teams and guide new ones.
Explore whether AI agents are just hype or genuinely scalable for complex, multi-step workflows outside of developer tools, revealing where true production value lies in specialized internal applications.
Discover how a developer handled accidentally merging a Polish swear word into an open-source project's debug log. Explore practical strategies for removal, arguments for retention, and professional considerations when faced with unintended language in code.
LLMs are changing how we code, introducing significant waiting times. Discover practical strategies from experienced developers on how to stay productive and focused while your AI writes code, from parallel tasking to creative side projects.
Explore why Docker is often banned in regulated banking environments, especially for offshore teams, and its impact on developer productivity. Discover practical workarounds and strategies for modern development in these challenging setups.
Explore the recent brief but global GitHub outage that affected `git push` and `pull` operations, and discover insights into its rapid resolution and user responses.
Explore practical setups and workflows for running open-source LLMs and coding assistants locally, covering hardware, models, integrations, and tips for optimizing performance and privacy.
Discover practical strategies for tackling colossal, AI-generated "vibe-coded" pull requests, from effective rejection tactics to collaborative review methods. Learn how to maintain code quality and developer sanity amidst the push for AI-driven velocity.
Explore how developers are truly integrating AI tools, from battling 'AI slop' to harnessing them for specific tasks like code snippets and test generation. Learn practical tips for effective AI use while maintaining your workflow.
Discover why wet labs aren't fully automated like warehouses. This post explores the hurdles, from proprietary protocols and high costs to the surprising speed of manual work, and highlights progress towards smarter lab environments.