AI时代，软件成本真能降90%？

Core Insights - The emergence of AI Agents is significantly reducing labor costs in software development, potentially allowing projects that previously took weeks or months to be completed in just hours or a week [1][4] - The article discusses the transformative impact of AI tools on development processes and suggests that 2026 may mark a pivotal turning point for the industry [1] Software Delivery Costs - The initial wave of cost reduction in custom software development was driven by the rise of open-source solutions, which eliminated high licensing fees associated with proprietary databases [2] - The complexity of software engineering has increased in recent years, leading to a perception that development costs have not decreased significantly [2] Cost Savings from AI Agents - AI Agents are expected to drastically lower labor costs in software development, with the potential for a 90% reduction in costs [5][4] - Traditional development processes require a small team for tasks such as CI/CD setup, data access organization, and extensive testing, which can take a month to complete [5] - With AI Agents, these processes can be completed in a matter of hours, allowing for rapid development and reduced communication overhead [6] Release of Potential Demand - The reduction in production costs does not merely lead to lower spending but can result in increased demand for software solutions, as illustrated by the Jevons Paradox [7] - Many companies have significant untapped software needs, and lowering development costs could lead to a surge in demand for new applications [8] Importance of Domain Knowledge - Despite the advancements in AI, human oversight remains crucial to ensure quality and direction in software development [10] - Developers who master AI tools will become highly efficient in solving business problems, leveraging their domain knowledge to enhance productivity [10] Future of Software Development - The combination of business experts and skilled developers using AI tools will enable rapid iteration and development, potentially reducing the need for large teams [11] - The industry is on the brink of significant change, with the potential for software development to evolve faster than anticipated as AI technology continues to advance [12] AI in Legacy Code Management - AI Agents can simplify the understanding and maintenance of legacy code, making it easier to identify bugs and suggest fixes [13]