Provide implementations of advanced data structures
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Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.
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See how to installReview the instructions the agent will receive before you install.
Clear boundaries on what the feature does and does not include.
Detailed requirements with unique identifiers for tracking.
Testable, measurable criteria for each requirement.
Decision records with rationale and alternatives considered.
Phased approach ordered by dependency, not priority.
Identified risks with probability, impact, and mitigation strategies.
Interface definitions and data model schemas.
Mapping of unit, integration, and E2E tests to requirements.
Specifications are saved to docs/specs/{feature}.md for reference by the execution workflow.
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Provide implementations of advanced data structures
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Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.
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WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.
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Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
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Generate visual representations of algorithm execution
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Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
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