Developer Tools / CLI / Prompt Engineering
A Python CLI that packages data science repositories and data-heavy project files into LLM-friendly prompts, with sampling for CSV, SQL, Excel, and notebooks.
The page clearly presents a real AI-adjacent developer tool with a focused use case: turning data-heavy projects into LLM-ready context. The README shows installation, CLI usage, supported file types, output formats, and implementation details, giving enough evidence for a useful public listing.
The crawl does not show screenshots, release notes, or external usage evidence, so it is hard to judge adoption or how polished the generated output looks in practice.
Last evaluated just now. Current rank #76. Down 4 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Claude Code plugin that blocks dependency edits until a fresh, source-cited version check is recorded, helping prevent hallucinated or stale package versions across npm, pip, Poetry/uv, Cargo, and NuGet.
An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.
CLI for catching AI-generated code smells and regressions in code. It scans changes with 40+ rules across 7 languages, offers fixes, CI gating, hooks, and MCP tools.
