killerbotofthenewworld / ddr5-ai-memory-tuner
🧠 The Ultimate AI-Powered DDR5 Memory Tuning Simulator
Code health
killerbotofthenewworld/ddr5-ai-memory-tuner scores 8.0 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 8.1 out of 10. Static performance risk scores 9.8 out of 10. The three are scored separately and never blended into a single number.
Full health report- Files
- 125
- Symbols
- 1.2k
- Modules
- 5
- Doc pages
- 157
- Dead exports
- 20
Read more about killerbotofthenewworld/ddr5-ai-memory-tuner
- OverviewFiles, symbols, languages, packages, git intelligence
- ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
- Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
- AI explanationsProModule-by-module documentation generated from source
Add a badge to your README
Both badges are public, cached, and update on their own after every index. Nothing to install.
Repowise badge
Links to this page. Adding it also re-indexes the repo every week.
[](https://repowise.dev/repo/killerbotofthenewworld/ddr5-ai-memory-tuner)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/killerbotofthenewworld/ddr5-ai-memory-tuner)How killerbotofthenewworld/ddr5-ai-memory-tuner works
🧠 The Ultimate AI-Powered DDR5 Memory Tuning Simulator This page is an auto-generated, always-fresh map of the killerbotofthenewworld/ddr5-ai-memory-tuner repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 125 source files, 1,167 symbols, and 6 languages, organised into 5 modules, led by python, markdown, yaml. Static analysis leaves 398 open findings across the three health dimensions.
Use the links above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.