c54c569f30
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>
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1.4 KiB
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