Example: your code works, but it’s unusable until a good UX is built.Example: your policy works, but it’s unpopular unless it’s explained properly.Example: your medicine works, but you need to give it a catchy name to get it prescribed.These are really all the same problem. Making it work is the backend, making it pretty is the frontend. Do both or fail.That said: it’s easier to add frontend optics than to invent backend substance, which is why the advice to focus on substance first actually is good advice. ...

Core Viewpoint - The article presents humorous illustrations related to programming, highlighting the challenges and quirks faced by developers in their daily tasks. Group 1 - The first illustration depicts the humorous consequences of interns modifying legacy code, emphasizing the risks associated with inexperienced developers handling critical systems [2] - The second illustration showcases six different approaches programmers take to fix bugs, reflecting the diverse problem-solving strategies within the software development community [3] - The third illustration contrasts backend and frontend development, illustrating the different skill sets and challenges faced by developers in these two areas [4]

AI Agent Application - AI agents are more suitable for frontend code, API interactions, data analysis, and prototyping [1] - AI agents are less suitable for domains requiring high context, backend code, and iterative development [2] - AI agents are effective for "shallow" layers of applications but risky in "core" areas needing high context and low error rates [3] AI vs Human Coding - Using AI agents can be slower than coding directly, especially when prompt writing and code review take more time [1][2] - Code directly when the domain is well-known, requires high context, or needs iterative refinement [2] Heuristics for AI Agent Use - Frontend over backend [4] - Reads over writes [4] - Shallow over core [4] - Prototypes over production [4] - Starting vs maintaining [4] - Error-tolerant domains over error-intolerant [4] - Visual output over financial [4] - Low-context over high-context [4]