BMAD-METHOD/.claude/system/performance-optimization.md

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# Performance & Scalability Optimization
## Current Performance Bottlenecks
### 1. Sequential Agent Execution
**Problem**: Agents execute one-by-one, even when they could run in parallel
```yaml
# Current: Sequential (slow)
sequence:
- step: 1 (analyst) -> 2 (pm) -> 3 (ux) -> 4 (architect) -> 5 (developer)
# Optimized: Parallel where possible
execution_groups:
group_1: [analyst] # Must run first
group_2: [pm] # Depends on analyst
group_3: [ux_expert, architect] # Can run parallel after PM
group_4: [developer] # Depends on UX + architect
group_5: [qa] # Final validation
```
### 2. Context Loading Inefficiencies
**Problem**: Each agent loads all previous outputs, even irrelevant ones
```yaml
# Current: Load everything (inefficient)
context_loading: "all_previous_outputs"
# Optimized: Selective loading
context_loading:
analyst: [] # No dependencies
pm:
- analyst.project_brief
- analyst.structured_data.target_users
architect:
- pm.functional_requirements
- pm.non_functional_requirements
- analyst.technical_constraints
# Only load what's needed
```
### 3. Template Processing Overhead
**Problem**: Full template parsing for simple variable substitution
```yaml
# Optimized template caching
template_optimization:
pre_compile: true
cache_duration: "session"
variable_validation: "compile_time"
partial_templates: true # For repeated sections
```
## Scalability Improvements
### 1. Workflow Partitioning
```yaml
# For large projects, split workflows
workflow_partitioning:
triggers:
- feature_count > 20
- complexity_score > 8
- team_size > 5
strategy:
- split_by_domain: ["auth", "core_features", "reporting"]
- parallel_workflows: true
- cross_domain_validation: "integration_checkpoints"
```
### 2. Agent Pool Management
```yaml
# Support multiple concurrent projects
agent_pool:
max_concurrent_sessions: 10
agent_instances:
analyst: 3
pm: 3
architect: 2
developer: 4
qa: 2
ux_expert: 2
load_balancing: "round_robin"
```
### 3. Incremental Processing
```yaml
# Support iterative development
incremental_mode:
enabled: true
triggers:
- requirements_change
- feature_addition
- technical_pivot
strategy:
- identify_affected_agents
- preserve_unaffected_outputs
- partial_workflow_execution
- delta_updates_only
```
## Performance Metrics & Monitoring
### Key Performance Indicators
```yaml
performance_kpis:
workflow_execution_time:
target: "< 10 minutes for greenfield-ui"
target: "< 20 minutes for greenfield-fullstack"
agent_response_time:
target: "< 90 seconds per agent"
quality_score:
target: "> 8.0 average across all outputs"
retry_rate:
target: "< 10% of agent executions"
user_satisfaction:
target: "> 85% positive feedback"
```
### Monitoring System
```yaml
monitoring:
real_time_metrics:
- agent_execution_time
- context_size
- template_processing_time
- quality_scores
alerting:
- execution_time > threshold
- quality_score < minimum
- error_rate > 15%
optimization_recommendations:
- automatic_workflow_tuning
- agent_prompt_optimization
- template_simplification_suggestions
```