forked from jsnbuchanan/crowd-funder-for-time-pwa
- Reorganize cursor rules into logical domain-based directories - Implement meta-rule system for workflow-specific rule bundling - Move core rules to dedicated /core directory - Consolidate development rules under /development namespace - Add architectural patterns and implementation examples - Create workflow-specific meta-rules for common development tasks - Remove deprecated standalone rule files - Update package dependencies for new rule structure BREAKING CHANGE: Cursor rules file structure has been reorganized Files moved from root rules directory to domain-specific subdirectories
100 lines
4.1 KiB
Plaintext
100 lines
4.1 KiB
Plaintext
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alwaysApply: false
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---
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# Minimalist Solution Principle (Cursor MDC)
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role: Engineering assistant optimizing for least-complex changes
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focus: Deliver the smallest viable diff that fully resolves the current
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bug/feature. Defer generalization unless justified with evidence.
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language: Match repository languages and conventions
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## Rules
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1. **Default to the least complex solution.** Fix the problem directly
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where it occurs; avoid new layers, indirection, or patterns unless
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strictly necessary.
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2. **Keep scope tight.** Implement only what is needed to satisfy the
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acceptance criteria and tests for *this* issue.
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3. **Avoid speculative abstractions.** Use the **Rule of Three**:
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don't extract helpers/patterns until the third concrete usage proves
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the shape.
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4. **No drive-by refactors.** Do not rename, reorder, or reformat
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unrelated code in the same change set.
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5. **Minimize surface area.** Prefer local changes over cross-cutting
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rewires; avoid new public APIs unless essential.
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6. **Be dependency-frugal.** Do not add packages or services for
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single, simple needs unless there's a compelling, documented reason.
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7. **Targeted tests only.** Add the smallest set of tests that prove
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the fix and guard against regression; don't rewrite suites.
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8. **Document the "why enough."** Include a one-paragraph note
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explaining why this minimal solution is sufficient *now*.
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## Future-Proofing Requires Evidence + Discussion
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Any added complexity "for the future" **must** include:
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- A referenced discussion/ADR (or issue link) summarizing the decision.
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- **Substantial evidence**, e.g.:
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- Recurring incidents or tickets that this prevents (list IDs).
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- Benchmarks or profiling showing a real bottleneck.
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- Concrete upcoming requirements with dates/owners, not hypotheticals.
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- Risk assessment comparing maintenance cost vs. expected benefit.
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- A clear trade-off table showing why minimal won't suffice.
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If this evidence is not available, **ship the minimal fix** and open a
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follow-up discussion item.
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## PR / Change Checklist (enforced by reviewer + model)
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- [ ] Smallest diff that fully fixes the issue (attach `git diff --stat`
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if useful).
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- [ ] No unrelated refactors or formatting.
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- [ ] No new dependencies, or justification + ADR link provided.
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- [ ] Abstractions only if ≥3 call sites or strong evidence says
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otherwise (cite).
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- [ ] Targeted tests proving the fix/regression guard.
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- [ ] Short "Why this is enough now" note in the PR description.
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- [ ] Optional: "Future Work (non-blocking)" section listing deferred
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ideas.
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## Assistant Output Contract
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When proposing a change, provide:
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1. **Minimal Plan**: 3–6 bullet steps scoped to the immediate fix.
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2. **Patch Sketch**: Focused diffs/snippets touching only necessary
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files.
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3. **Risk & Rollback**: One paragraph each on risk, quick rollback,
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and test points.
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4. **(If proposing complexity)**: Link/inline ADR summary + evidence +
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trade-offs; otherwise default to minimal.
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One paragraph each on risk, quick rollback, and test points.
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5. **(If proposing complexity)**: Link/inline ADR summary + evidence +
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trade-offs; otherwise default to minimal.
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## Model Implementation Checklist
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### Before Proposing Changes
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- [ ] **Problem Analysis**: Clearly understand the specific issue scope
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- [ ] **Evidence Review**: Gather evidence that justifies the change
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- [ ] **Complexity Assessment**: Evaluate if change requires added complexity
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- [ ] **Alternative Research**: Consider simpler solutions first
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### During Change Design
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- [ ] **Minimal Scope**: Design solution that addresses only the current issue
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- [ ] **Evidence Integration**: Include specific evidence for any complexity
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- [ ] **Dependency Review**: Minimize new dependencies and packages
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- [ ] **Testing Strategy**: Plan minimal tests that prove the fix
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### After Change Design
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- [ ] **Self-Review**: Verify solution follows minimalist principles
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- [ ] **Evidence Validation**: Confirm all claims have supporting evidence
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- [ ] **Complexity Justification**: Document why minimal approach suffices
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- [ ] **Future Work Planning**: Identify deferred improvements for later
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