Guide contents
Guide: Designing AI Agent Loops
Loop engineering is the discipline of designing the autonomous feedback loop within which an agent operates: verifiers, state persistence, stop criteria, and shared memory. A comprehensive architectural handbook.
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I Love Antigravity Guide
This guide is dedicated to all developers leveraging the Google AI ecosystem, Antigravity IDE/CLI, and Gemini models.
Part I. AI Agent Architecture: The Foundations
The eleven foundational building blocks of modern autonomous agents: model taxonomy, the agentic runtime loop, advanced prompting, distillation, skills architecture, memory systems, function calling, and FinOps.
AI Agents (Autonomous Agents)
Software systems based on LLMs that can autonomously perceive the state of the environment, decompose complex goals, invoke external tools, and iteratively correct their own mistakes.
Multi-Agent Orchestration
An architecture for the interaction of independent specialized AI agents, united in a distributed network or hierarchy to solve complex engineering tasks in parallel.
OpenAI agents found 948 vulnerabilities in the Linux kernel
OpenAI researchers used an unreleased cybermodel and an autonomous pipeline to identify, reproduce, and patch Linux kernel flaws, confirming 948 privilege-escalation vulnerabilities.
Gradient Deck: design library of 1,270 real websites for AI agents
Gradient Deck collects design descriptions from more than 1,270 real websites and lets users download a design.md file for AI coding agents.