VS Code Codex "Create Agent" — and Suddenly Your AI Has the IQ of a Goldfish
The article discusses the limitations of AI agents, particularly when they lack proper infrastructure. It highlights that while AI can seem autonomous, without understanding existing systems and conventions, it can lead to confusion and inefficiency. The author argues that operational architecture is crucial for making AI agents effective in real-world applications.
- ▪AI agents often lack awareness of existing project structures and conventions.
- ▪Without proper infrastructure, AI agents can create unnecessary complications and confusion.
- ▪The future of AI agent effectiveness lies in establishing operational architecture rather than just improving prompting techniques.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3934828) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } MAGNETiX Posted on May 20 VS Code Codex "Create Agent" — and Suddenly Your AI Has the IQ of a Goldfish #xvx #ai #adhd #productivity At first glance it feels magical: Click button → AI becomes autonomous engineer. Reality check: The moment you do this on a real project, you discover something very funny: The agent has absolutely no idea what your infrastructure looks like. No conventions. No memory. No project architecture. No operational rules. No understanding of existing tooling.
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