계획 모드와 직접 실행
크거나 모호한 변경은 계획하고, 작고 명확한 변경은 실행합니다
계획 모드와 직접 실행은(는) CoddyKit의 무료 Claude Architect 강의입니다. 이것은 4개 중 3번째 강의입니다. 아래에서 전체 강의를 무료로 읽을 수 있으며, 내장 코드 에디터와 24/7 AI 튜터와 함께 브라우저에서 직접 실습할 수 있습니다. 이 강의는 Claude Architect 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. Claude Architect 강의에는 총 4개의 강의가 포함되어 있습니다.
이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.
Two Modes, One Decision
In Claude Code you constantly make one judgment call: plan first, or execute now?
Plan Mode lets Claude explore, read files, and propose a written plan that you approve before any edits land. Direct execution skips straight to making changes.
The skill isn't picking one forever. It's matching the mode to the size and clarity of the task. Big or ambiguous? Plan. Small and clear? Execute.
What Plan Mode Actually Buys You
Plan Mode gives you four concrete benefits:
- Safe exploration — Claude reads and investigates without touching files.
- Approval gate — you review the proposed plan before edits happen.
- Approach comparison — when multiple solutions exist, you see them laid out.
- Architectural framing — design decisions surface early, not mid-edit.
Use it for large changes, multiple possible approaches, and architectural decisions where a wrong turn is expensive to unwind.
When Direct Execution Wins
Plan Mode has overhead: you read a plan, you approve it. For trivial work that overhead is pure friction.
Go straight to direct execution when the change is:
- A single-file fix with an obvious edit.
- Driven by a clear stack trace that points at the exact line.
- Small, well-scoped, and low-risk to get wrong.
If you already know the file, the line, and the fix, planning just slows you down.
The Decision Heuristic
Reduce it to two questions:
- Is the change big? Many files, new modules, refactors, migrations.
- Is the change ambiguous? Unclear requirements, several valid designs, unknown blast radius.
If either is true, plan first. If both are false — small and clear — execute directly.
This mirrors the exam principle: reserve heavier process for where uncertainty and impact are high; keep light paths light.
A Clear Bug: Execute Directly
Here a stack trace names the file and the cause. There's one correct fix and no design choice. Planning adds nothing.
You'd simply ask Claude to apply the fix, letting it Read the file and make a precise Edit on the unique matching line.
# Clear stack trace -> direct execution, no plan needed
# TypeError: 'NoneType' object has no attribute 'id'
# at services/billing.py line 88: customer.id
# Prompt to Claude Code:
# "billing.py:88 crashes when get_customer returns None.
# Guard the None case and return a 404-style error. Apply the fix."
# Claude: Read billing.py -> Edit line 88 (unique match) -> done.A Big Change: Plan First
Now contrast a request like "add multi-tenant support to the API." That touches auth, the data layer, routing, and migrations. There are several valid designs and a large blast radius.
This is textbook Plan Mode: let Claude explore the codebase read-only, then propose a plan you approve before a single edit lands.
# Ambiguous + large -> enter Plan Mode first
# In Claude Code: toggle Plan Mode, then:
# "Add tenant isolation across the API. Explore the current
# auth, models, and routing. Propose 2 approaches with trade-offs.
# Do NOT edit anything until I approve a plan."
# Output: a written plan + approaches -> you approve -> edits begin.Isolate Discovery with an Explore Subagent
Planning large changes means reading lots of files, and that discovery output is verbose. Dumping it all into the main context causes lost-in-the-middle attention loss and burns tokens.
Use an Explore subagent to isolate discovery. It investigates and returns a tight summary; the planning context stays clean. Skills can do the same with context: fork to isolate verbose output.
# .claude/skills/explore-codebase/SKILL.md frontmatter
---
name: explore-codebase
description: Map files relevant to a feature and return a concise summary
context: fork # isolate verbose discovery output
allowed-tools: [Glob, Grep, Read] # read-only, least privilege
argument-hint: <feature-area>
---Plan Mode and the Approval Gate
The approval step is the whole point. A plan you can read lets you catch a bad assumption before it becomes 15 edited files.
This is deterministic, human-in-the-loop control. It pairs naturally with the architect mindset: where impact is high, you want a hard checkpoint, not a hope that the model guessed your intent. Prompts are ~90% probabilistic; an approval gate is 100% under your control.
Investigate Before You Decide
Sometimes you can't tell if a task is small until you look. Don't guess — investigate incrementally, then choose the mode.
The built-in pattern: Grep the entry points, Read the key files, Grep the usages, Read the consumers. If the blast radius turns out large, switch to Plan Mode; if it's one isolated spot, just fix it.
# Incremental investigation drives the plan-vs-execute call
# 1) find where the symbol lives
# Grep "def calculate_tax"
# 2) read it
# Read services/tax.py
# 3) find callers
# Grep "calculate_tax("
# 4) read consumers -> 1 caller? execute. 12 callers? plan.Plan Mode Pairs with TDD and CLAUDE.md
Plan Mode doesn't work alone — it sits inside your Claude Code workflow.
- A shared ./CLAUDE.md (in VCS) gives the plan your standards and conventions up front.
- TDD: have the plan write failing tests first, then implement to green.
- Slash commands / skills in
.claude/can encode a repeatable "plan this feature" flow shared with the team.
The plan becomes the contract; tests prove it was met.
# CLAUDE.md feeds the plan your rules
## Engineering rules
- Write a failing test before implementing (TDD).
- New endpoints require an integration test.
- Plan multi-file changes; approve before editing.Don't Over-Plan or Under-Plan
Both extremes cost you:
- Over-planning a one-line, stack-trace-obvious fix wastes time and adds an approval step nobody needed.
- Under-planning a sprawling refactor means edits land before anyone validates the approach — exactly the expensive mistake the approval gate exists to prevent.
Calibrate to size and clarity. When genuinely unsure, lean toward planning for big or ambiguous work, and toward executing for small clear work after a quick look.
Quick Check: Pick the Mode
Apply the decision heuristic to a realistic request.
Recap: Match the Mode to the Task
Key takeaways:
- Plan Mode for big or ambiguous work: large changes, multiple approaches, architectural decisions, and safe exploration with approval before edits.
- Direct execution for small clear work: single-file fixes and clear stack traces.
- Decision rule: if the change is big OR ambiguous, plan; if small AND clear, execute.
- Investigate incrementally (Grep -> Read -> Grep -> Read) when you can't size it up front, then choose.
- Isolate verbose discovery with an Explore subagent (or a skill with
context: fork) to protect the planning context. - The approval gate is deterministic human control — don't trade it away on high-impact changes.
자주 묻는 질문
“계획 모드와 직접 실행” 강의는 무료인가요?
네 — “계획 모드와 직접 실행” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 Claude Architect 강의 전체를 잠금 해제할 수 있습니다. Claude Architect 강의에는 총 4개의 강의가 포함되어 있습니다.
“계획 모드와 직접 실행”에서 뭘 배우나요?
크거나 모호한 변경은 계획하고, 작고 명확한 변경은 실행합니다 브라우저에서 직접 실행하는 실습 코드로 Claude Architect을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.
Claude Architect을(를) 시작하는 데 경험이 필요한가요?
사전 경험은 필요하지 않습니다. CoddyKit의 Claude Architect은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 4개 중 3번째 강의입니다.
“계획 모드와 직접 실행” 강의는 얼마나 걸리나요?
대부분의 CoddyKit 강의는 약 5~10분이 소요됩니다. 각 강의는 간결하고 인터랙티브하여 꾸준한 진행이 가능하며, 웹과 앱에서 중단한 부분부터 바로 시작할 수 있습니다.
이 Claude Architect 강의에서 코드를 작성하고 실행할 수 있나요?
네. 모든 Claude Architect 강의에는 내장 코드 에디터가 포함되어 있으므로, 브라우저에서 바로 실제 코드를 작성하고 실행한 후 즉시 AI 피드백을 받을 수 있습니다 — 로컬 설정이 필요 없습니다.
이 강의의 모든 강의
- 사용자 지정 명령과 Skills
- Skill Frontmatter
- 계획 모드와 직접 실행
- 예시를 활용한 반복적 개선