TDD requires 2-3 execution cycles (RED → GREEN → REFACTOR), each with file reads, test runs, and potential debugging. This consumes 40-50% of context for a single feature. Dedicated TDD plans ensure full quality throughout the cycle. - TDD plans use `type: tdd` frontmatter with `<feature>` element - One feature per TDD plan (batching defeats the purpose) - Target ~40% context usage for TDD plans - Standard plans handle non-TDD work with 2-3 tasks 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
173 lines
6.2 KiB
Markdown
173 lines
6.2 KiB
Markdown
<scope_estimation>
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Plans must maintain consistent quality from first task to last. This requires understanding quality degradation and splitting aggressively.
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<quality_insight>
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Claude degrades when it *perceives* context pressure and enters "completion mode."
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| Context Usage | Quality | Claude's State |
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|---------------|---------|----------------|
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| 0-30% | PEAK | Thorough, comprehensive |
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| 30-50% | GOOD | Confident, solid work |
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| 50-70% | DEGRADING | Efficiency mode begins |
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| 70%+ | POOR | Rushed, minimal |
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**The 40-50% inflection point:** Claude sees context mounting and thinks "I'd better conserve now." Result: "I'll complete the remaining tasks more concisely" = quality crash.
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**The rule:** Stop BEFORE quality degrades, not at context limit.
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</quality_insight>
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<context_target>
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**Plans should complete within ~50% of context usage.**
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Why 50% not 80%?
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- No context anxiety possible
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- Quality maintained start to finish
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- Room for unexpected complexity
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- If you target 80%, you've already spent 40% in degradation mode
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</context_target>
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<task_rule>
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**Each plan: 2-3 tasks maximum. Stay under 50% context.**
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| Task Complexity | Tasks/Plan | Context/Task | Total |
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|-----------------|------------|--------------|-------|
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| Simple (CRUD, config) | 3 | ~10-15% | ~30-45% |
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| Complex (auth, payments) | 2 | ~20-30% | ~40-50% |
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| Very complex (migrations, refactors) | 1-2 | ~30-40% | ~30-50% |
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**When in doubt: Default to 2 tasks.** Better to have an extra plan than degraded quality.
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</task_rule>
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<tdd_plans>
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**TDD features get their own plans. Target ~40% context.**
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TDD requires 2-3 execution cycles (RED → GREEN → REFACTOR), each with file reads, test runs, and potential debugging. This is fundamentally heavier than linear task execution.
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| TDD Feature Complexity | Context Usage |
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|------------------------|---------------|
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| Simple utility function | ~25-30% |
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| Business logic with edge cases | ~35-40% |
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| Complex algorithm | ~40-50% |
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**One feature per TDD plan.** If features are trivial enough to batch, they're trivial enough to skip TDD.
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**Why TDD plans are separate:**
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- TDD consumes 40-50% context for a single feature
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- Dedicated plans ensure full quality throughout RED-GREEN-REFACTOR
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- Each TDD feature gets fresh context, peak quality
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See `~/.claude/get-shit-done/references/tdd.md` for TDD plan structure.
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</tdd_plans>
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<split_signals>
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<always_split>
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- **More than 3 tasks** - Even if tasks seem small
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- **Multiple subsystems** - DB + API + UI = separate plans
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- **Any task with >5 file modifications** - Split by file groups
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- **Checkpoint + implementation work** - Checkpoints in one plan, implementation after in separate plan
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- **Discovery + implementation** - DISCOVERY.md in one plan, implementation in another
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</always_split>
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<consider_splitting>
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- Estimated >5 files modified total
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- Complex domains (auth, payments, data modeling)
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- Any uncertainty about approach
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- Natural semantic boundaries (Setup -> Core -> Features)
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</consider_splitting>
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</split_signals>
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<splitting_strategies>
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**By subsystem:** Auth → 01: DB models, 02: API routes, 03: Protected routes, 04: UI components
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**By dependency:** Payments → 01: Stripe setup, 02: Subscription logic, 03: Frontend integration
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**By complexity:** Dashboard → 01: Layout shell, 02: Data fetching, 03: Visualization
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**By verification:** Deploy → 01: Vercel setup (checkpoint), 02: Env config (auto), 03: CI/CD (checkpoint)
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</splitting_strategies>
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<anti_patterns>
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**Bad - Comprehensive plan:**
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```
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Plan: "Complete Authentication System"
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Tasks: 8 (models, migrations, API, JWT, middleware, hashing, login form, register form)
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Result: Task 1-3 good, Task 4-5 degrading, Task 6-8 rushed
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```
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**Good - Atomic plans:**
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```
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Plan 1: "Auth Database Models" (2 tasks)
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Plan 2: "Auth API Core" (3 tasks)
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Plan 3: "Auth API Protection" (2 tasks)
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Plan 4: "Auth UI Components" (2 tasks)
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Each: 30-40% context, peak quality, atomic commits (2-3 task commits + 1 metadata commit)
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```
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</anti_patterns>
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<estimating_context>
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| Files Modified | Context Impact |
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|----------------|----------------|
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| 0-3 files | ~10-15% (small) |
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| 4-6 files | ~20-30% (medium) |
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| 7+ files | ~40%+ (large - split) |
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| Complexity | Context/Task |
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|------------|--------------|
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| Simple CRUD | ~15% |
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| Business logic | ~25% |
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| Complex algorithms | ~40% |
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| Domain modeling | ~35% |
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**2 tasks:** Simple ~30%, Medium ~50%, Complex ~80% (split)
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**3 tasks:** Simple ~45%, Medium ~75% (risky), Complex 120% (impossible)
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</estimating_context>
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<depth_calibration>
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**Depth controls compression tolerance, not artificial inflation.**
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| Depth | Typical Phases | Typical Plans/Phase | Tasks/Plan |
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|-------|----------------|---------------------|------------|
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| Quick | 3-5 | 1-3 | 2-3 |
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| Standard | 5-8 | 3-5 | 2-3 |
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| Comprehensive | 8-12 | 5-10 | 2-3 |
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Tasks/plan is CONSTANT at 2-3. The 50% context rule applies universally.
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**Key principle:** Derive from actual work. Depth determines how aggressively you combine things, not a target to hit.
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- Comprehensive auth = 8 plans (because auth genuinely has 8 concerns)
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- Comprehensive "add favicon" = 1 plan (because that's all it is)
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Don't pad small work to hit a number. Don't compress complex work to look efficient.
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**Comprehensive depth example:**
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Auth system at comprehensive depth = 8 plans (not 3 big ones):
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- 01: DB models (2 tasks)
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- 02: Password hashing (2 tasks)
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- 03: JWT generation (2 tasks)
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- 04: JWT validation middleware (2 tasks)
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- 05: Login endpoint (2 tasks)
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- 06: Register endpoint (2 tasks)
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- 07: Protected route patterns (2 tasks)
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- 08: Auth UI components (3 tasks)
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Each plan: fresh context, peak quality. More plans = more thoroughness, same quality per plan.
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</depth_calibration>
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<summary>
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**2-3 tasks, 50% context target:**
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- All tasks: Peak quality
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- Git: Atomic per-task commits (each task = 1 commit, plan = 1 metadata commit)
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- Autonomous plans: Subagent execution (fresh context)
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**The principle:** Aggressive atomicity. More plans, smaller scope, consistent quality.
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**The rule:** If in doubt, split. Quality over consolidation. Always.
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**Depth rule:** Depth increases plan COUNT, never plan SIZE.
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**Commit rule:** Each plan produces 3-4 commits total (2-3 task commits + 1 docs commit). More granular history = better observability for Claude.
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</summary>
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</scope_estimation>
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