JavaScript开发者需要警惕递归函数在生产环境中的潜在威胁。虽然递归在逻辑正确且基础情况完善时在理论上看似安全，但每次递归调用都会消耗栈空间，最终导致栈溢出[1]。以一个简单的求和函数为例，sum(100000) 在大多数JavaScript运行时会直接抛出 RangeError 或 InternalError: too much recursion 错误[1]。
尾递归优化（TCO）被寄予厚望作为解决方案，但实际情况令人失望[1]。虽然ECMAScript 2015在正式规范中确立了严格模式下的适当尾调用机制，但大多数JavaScript引擎并未一致采纳这一特性[1]。这导致一个关键问题：尾递归是函数结构的属性，而栈重用则是运行时实现的属性[1]。即使代码在结构上符合尾递归的要求，也不能保证在生产环境中不会失败。
对此，业界给出了务实的建议[1]。对于小的、有界的递归深度场景，可以安全使用递归；但对于深度由用户驱动、数据驱动或操作不确定的场景，应该改用迭代方法[1]。此外，蹦床模式（trampoline）提供了一个替代方案——在保持递归结构可读性的同时避免栈增长[1]。
JavaScript developers often overlook a critical vulnerability in recursive functions: while recursion appears safe when logic is correct and base cases are sound, each recursive call consumes stack space, ultimately leading to stack overflow [1]. Calling sum(100000) demonstrates this risk, as it throws a RangeError or InternalError: too much recursion in most JavaScript runtimes [1].
The false sense of security stems from misconceptions about tail call optimization (TCO). Although ECMAScript 2015 formally specified proper tail calls in strict mode, most JavaScript engines have not consistently adopted this feature [1]. The distinction is crucial: tail recursion is a property of function structure, whereas stack reuse depends on runtime implementation [1]. This means that even correctly structured recursive code may fail unexpectedly in production environments where TCO is not universally guaranteed.
To mitigate these risks, developers should adopt context-specific strategies [1]. For small, bounded recursion depths, traditional recursion remains viable; however, for user-driven, data-driven, or operations with uncertain depth, iteration is the safer approach [1]. An alternative is the trampoline pattern, which maintains recursive code readability while avoiding stack growth [1].