refactor: move all remaining files to orig/ directory

Completed clean root directory structure:
- Root now contains only: .git, .env, docs/, orig/
- Moved all remaining files and directories to orig/:
  - Config files (.claude, .dockerignore, .drone.yml, etc.)
  - All .env variants (except active .env)
  - Git config (.gitconfig, .github, .gitignore, etc.)
  - Tool configs (.golangci.yml, .revive.toml, etc.)
  - Documentation (*.md files, @prompts)
  - Build files (Dockerfiles, Makefile, go.mod, go.sum)
  - Docker compose files
  - All source directories (scripts, tests, tools, etc.)
  - Runtime directories (logs, monitoring, reports)
  - Dependency files (node_modules, lib, cache)
  - Special files (--delete)

- Removed empty runtime directories (bin/, data/)

V2 structure is now clean:
- docs/planning/ - V2 planning documents
- orig/ - Complete V1 codebase preserved
- .env - Active environment config (not in git)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

orig/.gemini/commands/improve-latency.md

@@ -0,0 +1,51 @@
+# Improve Latency Performance
+
+Improve latency performance for the following critical path: $ARGUMENTS
+
+## Latency Optimization Strategy:
+
+### 1. **Latency Analysis**
+- Measure current end-to-end latency
+- Identify latency components (network, computation, I/O)
+- Analyze latency distribution and outliers
+
+### 2. **Optimization Areas**
+
+#### **Network Latency**
+- Connection pooling for RPC calls
+- Request batching and pipelining
+- Caching frequently accessed data
+- Asynchronous processing patterns
+
+#### **Computational Latency**
+- Algorithmic complexity reduction
+- Lookup table implementation
+- Parallel processing opportunities
+- Precision vs. performance trade-offs
+
+#### **I/O Latency**
+- Buffering and streaming optimizations
+- Disk I/O patterns
+- Database query optimization
+- File system caching
+
+### 3. **MEV Bot Specific Optimizations**
+
+#### **Critical Path Components**
+- Transaction detection and parsing (< 10 microseconds target)
+- Market analysis and arbitrage calculation
+- Opportunity evaluation and ranking
+- Execution decision making
+
+## Implementation Guidelines:
+- Measure latency at each component
+- Focus on 95th and 99th percentile improvements
+- Ensure deterministic performance characteristics
+- Maintain accuracy while improving speed
+
+## Deliverables:
+- Latency benchmark results (before/after)
+- Latency distribution analysis
+- Optimization documentation
+- Monitoring and alerting for latency regressions
+- Performance vs. accuracy trade-off analysis