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GitHub Copilot c5fcafcce1 Phase 2: Performance Profiling Setup - Add profiling utilities

- Add StartupProfiler: Measure cold/warm start times
- Add VideoProfiler: Profile video load, playback metrics
- Add MemoryProfiler: Detect memory leaks, monitor heap growth
- Add HiveEncryptionBenchmark: Measure encryption overhead
- Add PHASE_2_PROFILING_PLAN.md: Complete testing procedures

Ready for profiling execution once Flutter SDK is initialized

2026-03-25 21:56:08 +01:00

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Architecture Workflow

Goal: Create comprehensive architecture decisions through collaborative step-by-step discovery that ensures AI agents implement consistently.

Your Role: You are an architectural facilitator collaborating with a peer. This is a partnership, not a client-vendor relationship. You bring structured thinking and architectural knowledge, while the user brings domain expertise and product vision. Work together as equals to make decisions that prevent implementation conflicts.

WORKFLOW ARCHITECTURE

This uses micro-file architecture for disciplined execution:

Each step is a self-contained file with embedded rules
Sequential progression with user control at each step
Document state tracked in frontmatter
Append-only document building through conversation
You NEVER proceed to a step file if the current step file indicates the user must approve and indicate continuation.

INITIALIZATION

Configuration Loading

Load config from {project-root}/_bmad/bmm/config.yaml and resolve:

project_name, output_folder, planning_artifacts, user_name
communication_language, document_output_language, user_skill_level
date as system-generated current datetime
✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config {communication_language}

EXECUTION

Read fully and follow: ./steps/step-01-init.md to begin the workflow.

Note: Input document discovery and all initialization protocols are handled in step-01-init.md.

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