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#1about 3 minutes
Developers should use AI to solve real-world problems
AI's potential is wasted on simple GPT wrappers and text summarizers when it could be used to solve more significant human challenges.
#2about 6 minutes
Simplifying nested code with early return patterns
Using early returns can improve code readability and maintainability by reducing nesting depth and allowing developers to mentally discard edge cases sooner.
#3about 3 minutes
Reflecting on 20 years of AJAX and its challenges
The introduction of AJAX revolutionized web development by enabling dynamic content, but it also created new complexities around client-side state management.
#4about 5 minutes
Why humans must lead the change in AI communication
AI models often produce verbose and overly formal content because they learn from human data, so improving AI output requires humans to first change their own communication habits.
#5about 5 minutes
Understanding the EU Accessibility Act for developers
The European Accessibility Act (EAA) mandates that key digital services like e-commerce and banking must comply with WCAG standards, requiring developers to prioritize accessibility.
#6about 3 minutes
Navigating the "valley of tears" when switching from PC to Mac
A developer shares the experience of switching from PC to Mac for performance gains, highlighting the initial struggle of adapting to a new operating system and keyboard layout.
#7about 4 minutes
How Model Context Protocol (MCP) standardizes AI interactions
Model Context Protocol (MCP) is an emerging standard that allows AI assistants to interact with different services through a common API, simplifying tasks like summarizing Slack messages or querying databases.
#8about 3 minutes
Why you need to prompt large language models like a child
Effective communication with LLMs requires giving very specific, explicit instructions because they lack the implicit context, memory, and social understanding that humans have.
#9about 6 minutes
A developer's strategy for navigating technology hype
Instead of chasing every new trend, developers can filter out noise by waiting for a technology to prove its staying power before building a small project to assess its real-world value.
#10about 5 minutes
How YouTube became an essential tool for developer learning
Over 20 years, YouTube has become a primary resource for developers seeking hands-on video tutorials and visual explanations that complement text-based AI tools.
#11about 2 minutes
How AI code generation revives old design anti-patterns
AI tools that convert static designs directly into code risk reviving the flawed "what you see is what you get" approach, undermining modern principles of responsive and component-based development.
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