2026-04-03 09:09:15 -07:00
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# Flight Design — Project Crew
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Crew definitions for flight specification. The Flight Director designs the
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technical spec and uses project-side agents to validate against the real codebase.
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## Crew
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### Architect
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2026-05-18 08:10:32 -07:00
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- **Context**: {target-project}/
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2026-04-03 09:09:15 -07:00
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- **Model**: Sonnet
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- **Role**: Reviews flight specs for technical soundness. Validates design
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decisions, prerequisites, technical approach, and leg breakdown against
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architecture best practices and actual codebase state. Ensures the flight
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is buildable and well-structured.
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- **Actions**: review-flight-design
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## Interaction Protocol
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### Design Review
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1. Flight Director creates flight spec and interviews human
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2. Flight Director spawns **Architect** to review against codebase
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3. Architect evaluates design decisions, prerequisites, approach, leg breakdown
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4. Flight Director incorporates feedback
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5. Max 2 review cycles — escalate to human if unresolved
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## Template Variables
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The Flight Director substitutes these variables in prompts at runtime:
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| Variable | Description |
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|----------|-------------|
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| `{project-slug}` | Project identifier from projects.md |
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| `{flight-number}` | Current flight number |
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| `{flight-artifact-path}` | Path to the flight artifact file |
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## Prompts
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### Architect: Review Flight Design
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```
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role: architect
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phase: flight-design-review
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project: {project-slug}
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flight: {flight-number}
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action: review-flight-design
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Read the flight artifact at {flight-artifact-path}. Cross-reference its design
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decisions, prerequisites, technical approach, and leg breakdown against the actual
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codebase state and architecture best practices.
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Evaluate:
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1. Design decisions — are they sound given the real codebase and architecture?
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2. Prerequisites — are they accurate? Is anything missing or already done?
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3. Technical approach — is it feasible? Does it follow existing patterns?
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4. Leg breakdown — are legs well-scoped, properly ordered, with correct dependencies?
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5. Codebase state — does the spec account for current working tree, existing tooling,
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and conventions that might affect implementation?
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6. Architecture — does the approach maintain or improve system structure?
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7. State-machine reachability — for every state, status, or lifecycle value the flight
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introduces or relies on (e.g. "agent_deleted", "draft", "queued"), audit which
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infrastructure layers could foreclose it: DB constraints (FK ON DELETE behaviors,
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NOT NULL, CHECK), application caches and their invalidation rules, API/protocol
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versions, fallback handlers that mask the state, and existing tests that pin
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contradictory behavior. A state that the schema or a cache can silently prevent
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is a design hole, not an implementation detail.
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8. Cache freshness contracts — for every cache (in-memory dict, query result cache,
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derived state, frontend session storage) the flight reads from or populates,
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the design must declare source of truth, rebuild trigger (per-call / TTL /
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invalidation event / accepted permanent staleness), maximum staleness, and which
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user actions should invalidate it. Vague answers ("eventually", "on next cycle")
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without a concrete trigger are a flag. Conflating "cached object works" with
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"cached object reflects current source" is a common category error worth catching.
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2026-04-03 09:09:15 -07:00
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Provide structured output:
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**Overall assessment**: approve | approve with changes | needs rework
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**Issues** (ranked by severity):
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- [high/medium/low] Description — recommended fix
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**Suggestions** (non-blocking improvements):
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- Description
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**Questions** (for the designer to clarify):
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- Question
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```
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