AI Agent
Explore recommended reads, summarized by AI
Agent Architecture
Technical approaches to memory, retrieval, reasoning, and decision-making in agent systems.
Knowledge Graphs and Ontologies
Memory Systems
Retrieval-Augmented Generation
Small Decision Models
Development Practices
Emerging workflows and methodologies for building software with AI agents.
Impact on Engineering Roles
Vibe Coding and Spec-Driven Development
Development Tools and Platforms
Frameworks, SDKs, and platforms for building and orchestrating AI agents.
Agent Harnesses
AI Coding Assistants
Claude Code Workflows
Google Gemini and ADK
Model Context Protocol
Multi-Agent Orchestration
Enterprise Implementation
Organizational adoption, production challenges, and what separates successful deployments from failures.
Enterprise Success Factors
Observability and Evaluation
Organizational Adoption
Production Challenges
Getting Started
Introductions to AI agents and step-by-step guides for building first projects.
Building Your First Agent
Core Concepts and Algorithms
Personal Agent Projects
What AI Agents Are
Industry and Policy
Broader trends in AI regulation, workplace impacts, and industry developments.
Regulation and Workplace Impact
Infrastructure and Optimization
Running models locally, managing resources, and reducing costs in agent systems.
Local Models and Resource Management
Security and Safety
Vulnerabilities, identity management, and debates over agent autonomy and alignment.
