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 how developers and non-developers are successfully building complex, production-ready applications using AI-assisted coding, from niche personal tools to revenue-generating platforms. Learn about practical methodologies and real-world examples demonstrating LLM's transformative power in software development.
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 why AI models frequently use em dashes and how this trend is ironically prompting human writers to abandon a classic punctuation mark to avoid being mistaken for AI. Discover the historical context and modern typing methods for em dashes.
Explore why mobile phone typing still feels error-prone, from the enduring appeal of physical keyboards to the mixed reviews of AI-driven autocorrect, and discover practical solutions for a better experience.
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.
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.
Even experienced developers can feel overwhelmed by the vast array of tech choices. Discover practical strategies and a fresh mindset to break free from analysis paralysis and start building your ideas faster.
An analysis of why experienced developers change their minds on foundational debates like static vs. dynamic typing, Rust vs. Go, and tabs vs. spaces, moving from dogma to pragmatism.
Discover the Python development tools and setups used by professionals in 2025, from modern choices like UV and Ruff to established enterprise stacks.