A solo developer in Korea details their year-long journey experimenting with various AI coding tools, including Codex, ChatGPT, Cursor, Google Antigravity, and Claude Code. Despite significant monthly expenses, averaging ₩250,000-₩300,000, the developer found that the core of effective AI coding lies in the power of the underlying model, particularly Claude, combined with the user's ability to guide its direction. This iterative process led to a deeper understanding of tool capabilities and cost-effectiveness, ultimately settling on Claude Max for its performance. AI
IMPACT Highlights the ongoing challenge for developers to find cost-effective and powerful AI coding assistants, emphasizing the importance of model choice and user guidance.
RANK_REASON Personal narrative detailing user experience with multiple AI coding tools over time.
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