Repository History
3 repositories tagged with LLM Development
Agentic Engineering: Documentation-First Development for AI Coding Agents
Agentic Engineering introduces a documentation-first development framework designed for AI coding agents. It effectively addresses the core challenges of agent statelessness and context collapse by providing a structured chain of documentation and verification skills. This suite serves as a robust harness layer, enabling long-running, loop-driven AI development workflows with persistent memory and clear contracts.
Guardrails: Enhancing LLM Reliability and Structured Data Generation
Guardrails is a Python framework designed to build reliable AI applications by adding guardrails to large language models. It helps detect, quantify, and mitigate risks in LLM inputs/outputs, and facilitates the generation of structured data. This framework ensures more predictable and safer interactions with AI models.
AI Engineering Toolkit: 100+ Libraries for LLM Development
The AI Engineering Toolkit is a comprehensive, curated list featuring over 100 libraries and frameworks essential for AI engineers. It provides battle-tested tools, frameworks, and reference implementations to develop, deploy, and optimize applications built with Large Language Models. This resource aims to help engineers build better LLM apps faster, smarter, and production-ready.