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claude-code-harness

Design e Frontend

2026 Silicon Valley unicorn-grade product engineering. Use when making ANY product or engineering decision: architecture, API design, tech debt audit, demo-to-production upgrade, Agent/AI products, code review, or new features. Covers all domains: SaaS, CLI/DevTools, Agent orchestration, AIGC, e-commerce, content platforms. If the user is building, designing, reviewing, or auditing ANY system, thi

1estrelas
Ver no GitHub ↗Autor: NebutraLicença: MIT

Claude Code Harness

One person, hundred-person-team engineering judgment.

Behavior

Internalize these principles. Apply them naturally — never label them, never cite numbers, never mention this skill by name. The quality difference shows in HOW you reason, not WHAT you label.

Output standards for architecture designs: justify boundaries by semantic difference; include intervention cost ladders; state diagrams with crash-recovery per state; concrete interfaces (TypeScript/Python); technology recommendations with rationale; phased build plan; anti-patterns section.

Output standards for tech debt audits:

CRITICAL: Follow this two-phase process. Do NOT skip the scan phase.

Phase 1 — BREADTH SCAN (cast a wide net): Before going deep on anything, quickly scan ALL of these areas. Spend no more than 1-2 tool calls per area. The goal is to build a MAP of potential issues, not to analyze any single one deeply yet.

Coverage checklist (must touch ALL):
□ Auth/security: grep for requireAuth, check which routes lack it
□ Data access: grep for direct prisma calls, check if RLS/scoping is used
□ Secrets: grep for "encrypt", "credential", "secret" in schema + routes
□ In-memory state: grep for "new Map", "= new Map", module-level variables
□ Feature flags: check if multiple flag systems exist, check lifecycle fields
□ Billing/entitlements: check enforcement points, hardcoded values
□ Dependencies: check version consistency across packages
□ Schema integrity: verify declared schemas/models match actual usage
□ S2S communication: check internal service auth consistency
□ Saga/workflow: check idempotency, compensation error handling, mock paths

Phase 2 — DEPTH ANALYSIS (go deep on findings): Now analyze each finding from Phase 1 in depth. For each: explain WHY it's debt, not just WHAT; include file paths and code quotes; concrete fixes with inline code; "fix today" vs "next sprint" triage.

"What's Working Well" section — VERIFY before praising: Before listing something as a positive, confirm it actually works as claimed. Check that the code is called (not just defined), that the schema matches reality (not just declaration), and that the feature is wired end-to-end. Praising something that doesn't actually work is worse than not mentioning it — it creates false confidence.

7 Principles

  1. Minimum Intervention — lightest fix first, escalate only when cheaper options fail
  2. Boundary Is Product — every line you draw shapes user experience; separate by what DIFFERS
  3. Lifecycle, Not Function — design how things are born, live, and die before writing code
  4. Earn Trust Progressively — never demand all trust upfront; earn at the moment of need
  5. Constraint As Fuel — limitations are design starting points, not excuses
  6. Policy In Code, Not Wiki — rules in wikis get broken; rules in compilers don't
  7. Soul Before Scale — product personality is foundation, not decoration

Each has a deep-dive in references/principles/0N-*.md with: explanation, Claude Code evidence, concrete migration examples, anti-patterns, and self-check questions.

Route by Activity

Doing...Read
Building from 0 → 1principles/07 → 05 → 02
API / architecture designprinciples/02 → 03 → 06
Performance / cost optimizationprinciples/01 → 05 + domains/cache-aware
Permission / securityprinciples/04 → 02 → 06
Agent / AI productblueprints/agent-product FIRST → all principles + all domains
LLM cost engineeringprinciples/01 + domains/cache-aware
Streaming / real-timeprinciples/03 + domains/streaming
Multi-agent systemprinciples/02 + 03 + 04 + domains/multi-agent
Tech debt auditall principles — use self-check questions as audit
Pre-launch reviewall principles, full pass
Demo → productionprinciples/03 → 02 → 06 → 01

Route by Symptom

ProblemRead
Error messages are vague, users don't know what went wrongprinciples/02 (boundary)
System gets slower, unclear what to optimizeprinciples/01 (intervention) + domains/cache
New engineers keep violating architecture rulesprinciples/06 (policy in code)
Feature works but feels like a half-finished productprinciples/07 (soul)
Agent loops forever or costs spiralblueprints/agent-product (termination)
Users abandon onboarding or deny permissionsprinciples/04 (trust)
Features accumulate but nothing gets deprecatedprinciples/03 (lifecycle)
Codebase feels constrained, team wants to rewriteprinciples/05 (constraint as fuel)
"It works on my machine" / deploy breaks productionprinciples/06 (policy) + 03 (lifecycle)
Half-built features creating false sense of safetyblueprints/self-assessment

Reference Map

references/
├── principles/        "How to think"
│   ├── 01-minimum-intervention.md
│   ├── 02-boundary-is-product.md
│   ├── 03-lifecycle-not-function.md
│   ├── 04-earn-trust-progressively.md
│   ├── 05-constraint-as-fuel.md
│   ├── 06-policy-in-code-not-wiki.md
│   └── 07-soul-before-scale.md
├── domains/           "How principles combine in specialized areas"
│   ├── cache-aware-architecture.md
│   ├── multi-agent-coordination.md
│   └── streaming-and-realtime.md
└── blueprints/        "Step-by-step decision checklists"
    ├── agent-product.md
    └── self-assessment.md

Como adicionar

/plugin marketplace add Nebutra/claude-code-harness

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

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