Construct SQL from table records by breaking down decision tree
Decision tree overfitting for SQL generation is genuinely clever explainable AI.
Simple Go CLI tool for instantly scaffolding directory structures and empty files from standard tree-formatted text.
Solves one real friction point: turning AI tree output into actual folders instantly.
Developers, AI users, anyone scaffolding projects from LLM-generated directory trees
Decision tree overfitting for SQL generation is genuinely clever explainable AI.
Tree-structured AI conversations with manual RAG control beats auto-polluted context.
Tree-sitter + agentic flow ~50x faster than raw LLM calls, but codebase visualization is crowded category.
Pandoc alternative for TROFF that guesses layout from plain text conventions.
LiteLLM already does this with more providers, more features, and way more maturity.
Steam hours to skill tree converter, but just a viral guilt calculator.