Design ****: a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface. Use this language and these principles wherever code is being designed or restructured. The aim is leverage for callers, locality for maintainers, and testability for everyone.
## Glossary
Use these terms exactly — don't substitute "component," "service," "API," or "boundary." Consistent language is the whole point.
**Module** — anything with an interface and an implementation. Deliberately : a function, class, package, or tier-spanning slice. _Avoid_: unit, component, service.
**Interface** — everything a caller must know to use the module correctly: the type signature, but also invariants, ordering constraints, error modes, required configuration, and performance characteristics. _Avoid_: API, signature (too narrow — they refer only to the ).
**Implementation** — what's inside a module, its body of code. Distinct from **Adapter**: a thing can be a small adapter with a large implementation (a Postgres repo) or a large adapter with a small implementation (an in-memory fake). Reach for "adapter" when the seam is the topic; "implementation" otherwise.
**Depth** — : the amount of behaviour a caller (or test) can exercise per unit of interface they have to learn. A module is **deep** when a large amount of behaviour sits behind a small interface, **shallow** when the interface is nearly as complex as the implementation.
**Seam** _(Michael Feathers)_ — a place where you can alter behaviour without editing in that place; the *location* at which a module's interface lives. Where to put the seam is its own design decision, distinct from what goes behind it. _Avoid_: boundary (overloaded with DDD's bounded context).
**Adapter** — a concrete thing that satisfies an interface at a seam. Describes *role* (what slot it fills), not substance (what's inside).
**Leverage** — what callers get from depth: more capability per unit of interface they learn. One implementation pays back across N call sites and M tests.
**Locality** — what maintainers get from depth: change, bugs, knowledge, and verification concentrate in one place rather than spreading across callers. .
## Deep vs shallow
**Deep module** = small interface + lots of implementation:
```
┌─────────────────────┐
│ Small Interface │ ← Few methods, simple params
├─────────────────────┤
│ │
│ Deep Implementation│ ← Complex logic hidden
│ │
└─────────────────────┘
```
**Shallow module** = large interface + little implementation (avoid):
```
┌─────────────────────────────────┐
│ Large Interface │ ← Many methods, complex params
├─────────────────────────────────┤
│ Thin Implementation │ ← Just passes through
└─────────────────────────────────┘
```
When designing an interface, ask:
- Can I reduce the number of methods?
- Can I simplify the parameters?
- Can I hide more complexity inside?
## Principles
- **Depth is a property of the interface, not the implementation.** A deep module can be internally composed of small, mockable, swappable parts — they just aren't part of the interface. A module can have **internal seams** (private to its implementation, used by its own tests) as well as the **external seam** at its interface.
- **The deletion test.** Imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was .
- **The interface is the test surface.** Callers and tests cross the same seam. If you want to , the module is probably the wrong shape.
- **One adapter means a . Two adapters means a real one.** Don't introduce a seam unless something actually varies across it.
## Designing for testability
Good interfaces make testing natural:
1. ****
```typescript
// Testable
function processOrder(order, paymentGateway) {}
// Hard to test
function processOrder(order) {
const gateway = new StripeGateway();
}
```
2. ****
```typescript
// Testable
function calculateDiscount(cart): Discount {}
// Hard to test
function applyDiscount(cart): void {
cart.total -= discount;
}
```
- A **Module** has exactly one **Interface** (the surface it presents to callers and tests).
- **Depth** is a property of a **Module**, measured against its **Interface**.
- A **Seam** is where a **Module**'s **Interface** lives.
- An **Adapter** sits at a **Seam** and satisfies the **Interface**.
- **Depth** produces **Leverage** for callers and **Locality** for maintainers.
## Rejected framings
- **Depth as ratio of implementation-lines to interface-lines** (Ousterhout): . We use depth-as-leverage instead.
- **"Interface" as the TypeScript `interface` keyword or a class's public methods**: too narrow — interface here includes every fact a caller must know.
- **"Boundary"**: overloaded with DDD's bounded context. Say **seam** or **interface**.
## Going deeper
- **Deepening a cluster given its dependencies** — see [DEEPENING.md](DEEPENING.md): dependency categories, seam discipline, and .
- **Exploring alternative interfaces** — see [DESIGN-IT-TWICE.md](DESIGN-IT-TWICE.md): to design the interface several , then compare on depth, locality, and seam placement.
Source metadata
---
name: codebase-design
description: Shared vocabulary for designing . Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
---
先治理语言,再治理代码。 直接来源写道:Consistent language is the whole point. 它不仅定义 module / interface / seam,还明确要求不要用 component、service、API、boundary 替代。统一词汇让设计争论能落在同一对象上,而不是各说各话。
把 depth 从代码体量改写成调用者收益。 直接来源用 leverage at the interface 定义 depth,并拒绝 implementation-lines / interface-lines 比率。这样就避免了一个会“rewards padding the implementation”的错误指标;真正的问题变成:调用者学习一单位接口,能可靠地驱动多少行为?
用删除测试识别伪抽象。If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep. 这把“这一层看起来优雅吗”转化为可反事实检验的问题:删除后,复杂度是消失,还是扩散回调用点?
让生产调用与测试共享同一接缝。The interface is the test surface. 不为测试另造一套入口,而是让 caller 与 test 通过同一 interface 观察行为。这样测试更接近真实使用方式,也会反向暴露 interface 形状不佳的问题。
用第二个 adapter 为抽象收费。One adapter means a hypothetical seam. Two adapters means a real one. 它把“以后可能会换实现”的猜测变成证据门槛,直接抑制 speculative indirection。
选你代码库中的一个 repository / service wrapper:如果把它删除,复杂度会消失,还是会重新散落到多个 caller?这个答案说明它是 deep module,还是只是一层 pass-through?
Evidence note
直接来源是 skills/engineering/codebase-design/SKILL.md 的完整内容与引文;支持性上下文仅使用仓库 docs 页确认“reference, not a process”的定位;其余关于驱动方式、失败模式与可移植性的表述均标为解释,没有把 docs 或配套文件伪装成所选原文。