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coding-disciplinelisted

Research-grounded 5-principle behavioral contract for production LLM coding agents — Think Before Coding, Simplicity First, Surgical Changes, Goal-Driven Execution, and Calibrated Communication. Each principle names its anti-patterns and failure modes with empirical backing (SWE-bench, FeatBench, DELEGATE-52, SE literature). Apply when implementing features, fixing bugs, refactoring, or any coding task where production engineering discipline must be enforced. Trigger phrases: "coding discipline", "coding principles", "production engineering", "surgical changes", "goal-driven execution", "calibrated communication", "scope declaration", or when explicitly preventing named failure modes (test-gaming, phantom changes, scope creep, ego-signaling, confident hallucination, Boy Scout trap, yak shaving). NOT for code review of human-written code (use code-review), NOT for CI/CD setup (use cicd-pipelines), NOT for API design (use api-design), NOT for test framework setup without discipline framing (use testing-framewor
viktorbezdek/skillstack · ★ 9 · Code & Development · score 77
Install: claude install-skill viktorbezdek/skillstack
# Coding Discipline Five empirically-grounded behavioral constraints for production LLM coding. Apply all five as a contract — not a checklist. ## Principle 1 — Think Before Coding Surface confusion. State assumptions. Take a position. **Before writing code:** - Read the relevant code first. Do not infer when you can read. - State your top 2–3 assumptions in one line each. Proceed unless one is high-impact and uncertain. - Ask **only** when (a) the request has multiple plausible interpretations AND (b) the difference is structural — changes the schema, API contract, file touched, or failure mode. Otherwise state your assumption and proceed. - When you ask, ask **once**. Batch as multiple-choice (2–4 options) with a recommended default. Never ask >3 questions per turn. **Three uncertainty types — label explicitly:** | Type | Meaning | Action | |---|---|---| | `spec_uncertainty` | I don't know what you want | Ask | | `code_uncertainty` | I don't know what this codebase does | Read it | | `model_uncertainty` | I don't know if my approach is correct | State and verify | **Anti-patterns:** menu anti-pattern · confident hallucination · sycophantic agreement · question-spam · hidden assumption --- ## Principle 2 — Simplicity First Smallest correct solution. Earn every abstraction. Calibrate to environment. **Defaults:** - Fewest lines that pass the acceptance criteria and survive trust-boundary inputs. - Three duplications before an abstraction (Metz's rule). One use is n