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.
Discover practical strategies and tools to boost your laptop productivity on the go, from optimizing software features like Stage Manager to leveraging portable second screens.
Explore how developers are building database-backed websites using AI coding assistants like Claude Code, detailing effective workflows and popular technology stacks. Learn about the iterative process of planning, reviewing, and refining AI-generated code for rapid development.
Discover effective tools and strategies for automating repetitive browser tasks, from direct platform integrations with Zapier to powerful scripting with Playwright and advanced AI-driven agents.
Explore the historical, technical, and security reasons behind why memory stacks typically grow downwards, and discover alternative architectures that chose an upward growth path.
Explore the varied experiences with AI, from users naturally reducing their engagement due to inaccuracies to those integrating it deeply for significant productivity gains in specific tasks and workflows.
Facing frustration with AI code agents introducing unwanted changes during refactoring? Discover proven strategies like granular task breaking, precise positive prompting, and iterative review to keep your LLM agents focused and effective.
Explore the challenges and productive uses of AI in software development, from managing low-quality generated code to leveraging LLMs for TDD and workflow optimization. Discover how developers are adapting to maintain code quality and boost productivity with AI tools.