aiwg
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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.
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# Parallelization Guide
## Slicing Principles
- Prefer small, independent cards per concern (requirements, design, code, tests)
- Minimize cross-file edits to reduce merge conflicts
- Limit each card to 1–2 hours of focused work
## Common Slices
- Requirements: use-case brief, acceptance card, data contract
- Design: interface contract, component design, sequence sketch
- Code: task slice with tests, integration test spec
- Security: threat scenario, control implementation card
- Reliability: SLI card, alert/runbook entry, chaos experiment card
## Handoffs and Traceability
- Link cards into the traceability matrix
- Use the handoff checklist for transitions