Developer Tools / AI Infrastructure
An open-source handbook for production LLM serving and inference at scale, covering GPU fundamentals, KV cache, batching, quantization, speculative decoding, and engines like vLLM, SGLang, and TensorRT-LLM.
The page clearly presents a focused AI infrastructure resource for people building or operating production LLM systems. The README shows substantial topic coverage, quick-start steps, and concrete chapters on serving, optimization, and scaling, which makes it useful as a public listing.
The snapshot shows the handbook structure, but it does not expose how much content is already written across all chapters, whether the labs are complete, or how actively the project is maintained beyond the latest commit and repo metadata.
Last evaluated 86 days ago. Current rank #926. Down 6 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.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
Single-binary CLI that builds an AI agent knowledge base from git repos, Claude Code/Codex sessions, and saved links. It generates a portable markdown wiki, runs on cron, supports local Ollama mode, and exposes the result for agents via CLAUDE.md/AGENTS.md and MCP.
A lightweight React Markdown renderer with built-in LaTeX, syntax highlighting, streaming-safe rendering, and security-focused defaults.
