Developer Shares How Week 2 Shifted AI Thinking from Chatbots to Build Partners

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A developer reflecting on their second week of structured AI learning described a shift in perspective — from viewing AI as a question-answering tool to seeing it as a collaborative development partner. Key concepts explored included Claude Code for coding assistance, LLM skill specialization, and multi-agent (subagent) workflows for handling complex, segmented tasks. A practical highlight came when the learner successfully debugged auto-generated Terraform infrastructure files independently, rather than relying solely on the AI for fixes. Token limits posed a recurring frustration during hands-on practice, but prompted more deliberate and efficient prompt-writing habits. The developer plans to prioritize project-based experimentation over passive learning going forward.

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