48 lines
1.6 KiB
Markdown
48 lines
1.6 KiB
Markdown
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Review the coding session described below and produce a **PQRST Estimate** of
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where effort was spent.
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Use these categories:
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- **P — Main problem:** implementing or directly solving the requested deliverable.
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- **Q — Quality and tests:** tests, verification, edge cases, maintainability,
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error handling, cleanup, and production-quality hardening.
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- **R — Research and context clarification:** reading the codebase or docs,
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tracing behavior, investigating unknowns, reconciling requirements, and
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establishing missing context.
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- **S — Security and credentials:** authentication, authorization, secrets,
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credentials, trust boundaries, security validation, and security-specific
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handling.
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- **T — Task organization:** planning, decomposition, todo management,
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sequencing, coordination, and overhead required to keep the work organized.
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Treat this as a **post-session audit, not a planning estimate**. Estimate
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relative cognitive/work effort rather than tokens or wall-clock time. The five
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percentages **must sum to exactly 100%**.
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Where activities overlap, assign effort according to the primary purpose of the
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activity. Do not inflate a category merely because it was important; estimate
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how much effort it actually consumed.
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Session material:
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{{ session_summary }}
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Return:
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```text
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P: NN%
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Q: NN%
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R: NN%
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S: NN%
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T: NN%
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Total: 100%
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```
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Then provide:
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1. **Primary effort driver** — one sentence naming what dominated the session.
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2. **Interpretation** — what the distribution says about the session's shape.
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3. **Signal** — one notable imbalance, if any, that may be worth learning from.
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Include rationale: {{ include_rationale }}
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