AI coding tools seem to come in two main flavors: IDE-based, like @Cursor and @GitHub Copilot, and terminal-based setups, like using @Claude Code to generate commands, scripts, or entire files. Both have their fans, but which one actually helps you move faster?
Curious what flow people are sticking with long term, and where you see the most gains (or frustrations).
AI coding tools seem to come in two main flavors: IDE-based, like @Cursor and @GitHub Copilot, and terminal-based setups, like using @Claude Code to generate commands, scripts, or entire files. Both have their fans, but which one actually helps you move faster?
Curious what flow people are sticking with long term, and where you see the most gains (or frustrations).
With improved generative models now being widely available, we re reaching a point where we can get full front-end code and simple functioning code for apps from a single prompt. What are the factors that determine whether development roles can be replaced by models? What s our added value as humans?
With improved generative models now being widely available, we re reaching a point where we can get full front-end code and simple functioning code for apps from a single prompt. What are the factors that determine whether development roles can be replaced by models? What s our added value as humans?
