AI does exactly what you ask — that's the problem
The article discusses the challenges of using AI for coding tasks, particularly how current models interpret prompts literally. It emphasizes the importance of providing context and clear instructions to achieve better results. The author shares insights on structuring prompts effectively to improve AI responses in programming.
- ▪Current AI models like Claude and GPT-4o take prompts literally, which can lead to unusable outputs if the prompt lacks context.
- ▪A well-structured prompt should include elements like stack/context, precise task, constraints, and expected output.
- ▪Improving prompt quality can lead to a 30-39% enhancement in AI response accuracy.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3833552) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Odilon HUGONNOT Posted on May 23 • Originally published at web-developpeur.com AI does exactly what you ask — that's the problem #ai #claude #promptengineering #workflow I asked Claude to add pagination to a product list. Response in 30 seconds: clean, functional, complete. And completely disconnected from the rest of the app. Wrong pagination component (we already had one), invented styles, existing filters broken. Technically correct. Unusable as-is.
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