To turn these prose-based habits into a **Domain Specific Language (DSL)**, we need to shift from "advice" to "constraints and declarations." 

I will call this language **`HabitLang`**. It is a declarative language used to define a team's "Development Philosophy" or "Quality Manifesto." Instead of writing a README, a team writes a `.habit` file that acts as a living specification for their workflow.

Below is the specification and the implementation of the rules in `HabitLang`.

---

### 1. The `HabitLang` Specification

**Core Primitives:**
*   **`policy`**: A high-level directive that must be followed.
*   **`threshold`**: A quantitative limit that triggers an action.
*   **`priority`**: A ranking of importance (Immediate, Future, Ignorable).
*   **`constraint`**: A hard rule that defines "Working" or "Done."
*   **`workflow`**: A sequence of required steps.

---

### 2. The Rules translated into `HabitLang`

Here is how the 10 rules would be written in the DSL:

```python
// Rule 1: Commit Granularity
policy CommitSize {
    limit: "compilable_unit",
    goal: "effortless_revert",
    warning: "if you feel you are taking this too far, you are doing it right"
}

// Rule 2: Refactoring Cadence
policy RefactorCycle {
    commit_ratio: 0.5, // 50% of commits should be refactors
    max_duration: 10m, // Continuous refactoring units
    strategy: "make_easy_then_do_easy",
    avoid: "big_refactor"
}

// Rule 3: Deployment & Value
policy Deployment {
    liability: "undeployed_code",
    measure_of_progress: "working_software",
    definition_of_working: "deployed_and_contributing",
    cost_tolerance: "high", // Hosting costs < knowledge of progression
}

// Rule 4: Testing Scope
policy TestScope {
    trust: "framework_internals", 
    avoid: "testing_the_framework",
    correlation: {
        component_size: "small" -> test_burden: "low",
        component_size: "large" -> test_burden: "high"
    }
}

// Rule 5: Module Organization
policy ModulePlacement {
    preference: "independent_construct",
    forbidden: "jamming_into_existing_module",
    lifecycle: "create_now -> home_later"
}

// Rule 6: API Design
workflow ApiDevelopment {
    sequence: [TestFirst, Implement, Verify],
    dogma_level: "low",
    goal: "customer_perspective"
}

// Rule 7: Abstraction Trigger (The Rule of Three)
policy Abstraction {
    copy_paste_limit: 2,
    trigger: "third_occurrence",
    action: "consolidate_abstraction",
    preference: "wonky_parameterization" over "diverging_implementations"
}

// Rule 8: Design Evolution
policy DesignMindset {
    state: "stale_by_default",
    acceptance: "change_is_core",
    metric_of_skill: "ease_of_changing_software"
}

// Rule 9: Technical Debt Classification
policy TechDebt {
    categories: {
        type_1: { label: "blocking_now", priority: "critical" },
        type_2: { label: "blocking_later", priority: "high" },
        type_3: { label: "might_block_later", priority: "ignore" }
    },
    focus: [type_1, type_2]
}

// Rule 10: Testability as a Signal
policy Testability {
    signal: "difficult_to_test" -> "design_flaw",
    remedy: ["extract_function", "create_test_utility"],
    assertion: "tests_go_unwritten_due_to_friction_not_will"
}
```

---

### 3. How this DSL would be used (The "Runtime")

Since a DSL is useless without a way to apply it, here are three ways `HabitLang` could be "executed":

#### A. The Linter (Static Analysis)
A CLI tool scans your Git history and project structure:
*   **Check Rule 1 & 2:** `habit-check` analyzes the last 100 commits. If `refactor_ratio` is < 0.5, it warns: *"Your project is drifting away from Rule 2: Increase refactoring frequency."*
*   **Check Rule 7:** A static analyzer detects three nearly identical functions and flags: *"Abstraction Trigger: Third occurrence detected. Consolidate now."*

#### B. The PR Template (Human Process)
The DSL generates a dynamic Pull Request checklist based on the `.habit` file:
- [ ] Is this commit "small enough to be blissfully revertible"? (Rule 1)
- [ ] If this is a new API, were tests written first? (Rule 6)
- [ ] Does this add to "Type 1" or "Type 2" tech debt? (Rule 9)

#### C. The Onboarding Tool (Cultural Alignment)
When a new developer joins, they run `habit-init`, which transforms the `.habit` file into an interactive guide, explaining the "Why" behind these constraints, ensuring the team's "Good Habits" are codified and not just implied.