Sheldon Finlay
17e5eb707f
Generator-evaluator architecture with iterative context-reset for long-running coding tasks. Ships as a Claude Code plugin — install with /plugin and use /agent-loop:init, /agent-loop:plan, /agent-loop:run.
43 lines
1.7 KiB
Markdown
43 lines
1.7 KiB
Markdown
# Planner Context
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This file is loaded by the `/loop-plan` skill to provide additional context for PRD generation.
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## Story Decomposition Guidelines
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When breaking a feature into stories, think about:
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### Independence
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Each story should be independently deployable. After completing story N, the codebase should be in a valid, working state — even if the feature isn't fully built yet.
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### Context Window Fit
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A story must fit in a single AI context window (~100K tokens). This means:
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- Reading relevant existing code
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- Understanding the task
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- Implementing the change
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- Writing tests
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- Running quality checks
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- Committing
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Budget roughly:
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- 30% of context for reading/understanding
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- 40% for implementation
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- 20% for testing and quality
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- 10% for bookkeeping (prd.json, progress.md)
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### Failure Isolation
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If a story fails (evaluator rejects it), the next iteration should be able to retry it cleanly. Stories with too many moving parts are hard to retry because partial state is messy.
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### Evaluability
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Every story must have criteria the evaluator can independently verify. "The code is clean" is not evaluable. "The function returns 404 when the user doesn't exist" is evaluable.
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## PRD Anti-Patterns
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Avoid these common mistakes:
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- **Stories too large:** "Build the API" — split into individual endpoints
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- **Stories too small:** "Create the file" — combine with meaningful work in that file
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- **Vague criteria:** "Works correctly" — what does correctly mean? Be specific.
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- **Missing dependencies:** Story 5 needs Story 3's database table but doesn't say so
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- **Testing as afterthought:** Tests should be part of each story, not a separate "add tests" story at the end
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- **UI without backend:** A UI story that calls an API that doesn't exist yet
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