📄 中文摘要
软件系统演进速度快于团队对核心真理达成共识的速度，导致代码膨胀、功能堆积，测试套件增长却信心下降，测试从保障变为噪音。Khalil Stemmler的洞见指出，软件创建是发散与收敛的平衡。发散代表扩张与涌现，是探索新想法、新架构、新功能的过程，旨在增加可能性。收敛则代表聚焦与整合，是选择、优化、精简的过程，旨在减少可能性，将发散的成果转化为稳定、可维护的系统。发散阶段，团队探索多种解决方案，追求创新；收敛阶段，团队则需做出艰难决策，淘汰次优方案，确保系统一致性与稳定性。现代软件开发中，发散往往过度，而收敛不足，导致系统复杂性失控，熵增效应明显。平衡发散与收敛是构建健壮、可演进软件的关键，需在探索与整合之间找到最佳点，避免系统陷入无序状态。
📄 English Summary
AI, Entropy, and the Illusion of Convergence in Modern Software
Software systems evolve faster than teams can agree on what must remain true, leading to code bloat, feature accumulation, and growing test suites that paradoxically erode confidence, turning tests into noise rather than guardrails. Khalil Stemmler's insight frames creation as a balance between divergence and convergence. Divergence represents expansion and emergence, focusing on exploring new ideas, architectures, and features to increase possibilities. Convergence, conversely, signifies focus and integration, involving selection, optimization, and refinement to reduce possibilities, transforming divergent explorations into stable, maintainable systems. During divergence, teams explore multiple solutions and pursue innovation. In the convergence phase, difficult decisions are made to eliminate suboptimal options, ensuring system consistency and stability. Modern software development often suffers from excessive divergence and insufficient convergence, resulting in uncontrolled system complexity and increased entropy. Balancing these two forces is crucial for building robust, evolvable software, requiring an optimal point between exploration and integration to prevent systems from descending into disorder.