我的 2026 智能体工作流：我如何停止每月在 Claude Code、Antigravity 和 Codex 上烧掉 200 美元

Many developers in 2026 are spending $150–200 monthly on AI tools like Claude Code or Antigravity, attempting to generate applications with simple prompts, only to receive hundreds of lines of hallucinated code and encounter “context limit reached” errors. This common scenario highlights the significant inefficiency and high costs associated with current AI-assisted development practices. The article addresses this problem by detailing an optimized agent workflow designed to drastically reduce development expenses and improve code quality. The core principle involves shifting away from blind reliance on AI for complete code generation, instead leveraging it as a sophisticated assistant. This approach emphasizes human oversight, iterative refinement, and strategic integration of AI outputs. The author shares personal experience of overcoming substantial monthly expenditures by implementing refined agent usage strategies, leading to more reliable development outcomes. Key elements of this improved workflow include precise prompt engineering, breaking down complex tasks into manageable sub-tasks, utilizing external tools to augment AI capabilities, and rigorously validating AI-generated code. This methodology aims to foster a more economical and effective AI-powered development paradigm, preventing token waste and delivering tangible, usable results.