thinking-first-principles

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Strip assumed constraints to independently supported primitives, then rebuild. Escape analogy when convention fails or looks artificially expensive.

剥离假设的约束，提炼出有独立依据的基本要素，然后重新构建解决方案。当常规做法失效或成本过高时，摆脱类比思维。

A constraint is treated as fixed ("too expensive," "impossible," "always done this way") without independent support.
Convention or analogy has failed, stalled, or only yields weak incremental variants.
Greenfield design where industry defaults may smuggle false requirements.
Cost or feasibility claims rest on pricing, precedent, or authority rather than physics, math, or measured need.

The constraint is verified physics, hard regulation, or measured capacity → accept it and optimize within it.
A proven standard library, protocol, or known-good pattern already fits → use it; do not re-derive.
Time-critical incidents → act on the most likely cause first; reserve first-principles rebuild for post-incident redesign.
Incremental polish of a working system with no false-constraint signal → skip.

State the problem and claimed constraints. List every limit treated as fixed (cost, scale, stack, process, "must use X").
Classify each constraint. Tag as
```
physics/math
```
,
```
regulation/contract
```
,
```
measured fact
```
, or
```
convention/analogy/authority
```
. Keep only the first three as binding unless evidence upgrades a convention.
Decompose to primitives. Required inputs, conservation/complexity bounds, true non-negotiables. Demand independent support (measurement, derivation, primary requirement)—not vendor pricing or competitor precedent.
Discard unsupported assumptions. For each convention tag, state a falsifier. Drop or renegotiate anything lacking support.
Rebuild from remaining primitives only. Simplest solution that satisfies binding constraints and ignores artificial ones. Prefer commodity inputs and fewer moving parts over analogy.
Validate and stop. Check against real physics, contracts, and measured needs. Define the cheapest kill test. Stop when a coherent rebuild plus discriminating validation exists, or when only verified hard constraints remain.

明确问题和声称的约束。列出所有被视为固定不变的限制（成本、规模、技术栈、流程、“必须使用X”等）。
对每个约束分类。标记为
```
physics/math
```
、
```
regulation/contract
```
、
```
measured fact
```
或
```
convention/analogy/authority
```
。仅保留前三类作为具有约束力的约束，除非有证据提升常规做法的可信度。
分解为基本要素。必要输入、守恒/复杂度边界、真正不可协商的要求。要求有独立依据支撑（测量数据、推导过程、核心需求）——而非供应商定价或竞品先例。
摒弃无依据假设。对每个标记为常规做法的约束，说明一个可证伪的条件。剔除或重新协商所有缺乏支撑的内容。
仅基于剩余基本要素重构。构建满足约束条件且忽略人为限制的最简解决方案。优先选择通用输入和更少的可动部件，而非依赖类比。
验证并停止。对照真实物理规律、合同和实测需求进行检查。定义成本最低的验证测试。当完成连贯重构并通过鉴别性验证，或仅剩已验证的硬性约束时，停止操作。

Emit a first-principles rebuild:

生成基于第一性原理的重构结果：

Independence check: every primitive must cite measurement, derivation, or primary requirement—not precedent alone.
No smuggled analogy: if the rebuild still depends on "how others do it" without a primitive, strip it.
Constraint honesty: verified physics/regulation must remain; do not wish them away.
Over-application guard: if a standard solution is already optimal under verified constraints, do not rebuild for novelty.
Stop: one decompose → classify → rebuild → kill-test pass; do not recurse without new evidence.