Discover how developers are leveraging AI to boost productivity, automate code generation, and ensure quality through advanced testing strategies and high-level specification. Explore tips for rapid prototyping and adopting new tech stacks with AI assistance.
Explore the challenges and emerging strategies for shipping AI-generated code without traditional human review, from skepticism to practical rapid prototyping workflows. Learn how to balance development speed with code quality and maintainability in an AI-driven era.
Explore how modern AI models interpret and discuss "vibe coding," a new paradigm for development where LLMs take the lead. Discover tips for effective prompt engineering to get the most out of your AI assistant.
Explore what 'bad quality code' means when generated by LLMs and discover practical strategies to ensure consistency, maintainability, and architectural integrity in your AI-assisted development workflow.
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.
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 a range of innovative projects built using 'vibe coding' with AI tools like ChatGPT and Claude Code. Learn practical tips for rapid development, from managing AI-generated code to architectural insights.
For software engineers, understanding when to build from scratch and when to use AI is crucial. This article provides a strategic approach to integrating AI tools while mastering core development skills to build robust and maintainable projects.
Despite soaring claims of 10x to 1000x productivity boosts in software development from advanced AI, real-world evidence remains scarce. Explore why many are skeptical of 'PhD-level' AI and how economic structures might impact actual productivity gains.