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This paper presents a dependency-aware autoscaling framework for serverless environments, integrating graph-based bottleneck identification, multi-model forecasting (MLP, LSTM, CNN) via a probabilistic ensemble, and cost-aware scaling control. Experiments show 99.88% prediction accuracy and reduced infrastructure costs.
Understand Anything is an open-source tool that transforms any codebase into an interactive, queryable knowledge graph, helping developers quickly understand code structure, dependencies, and call relationships. It supports Claude Code, Cursor, and VS Code, and can be installed with a single command.
An open-source tool converts any GitHub repository into an interactive architecture map featuring dependency graphs, blast radius analysis, security scans, and a health score.
Free tool that scans your entire stack and reports every end-of-life dependency in under five minutes.