Practical writing for agentic engineering teams.
Public articles designed to help software teams understand the discipline behind agentic systems and find their way into the Academy.
Start with the transformation roadmap
The Agentic Transformation Roadmap
A phased roadmap for moving from isolated AI experiments to governed, measurable, organization-wide agentic capability.
Foundations and concepts
What Is Agentic Engineering?
A beginner-friendly explanation of agentic engineering as the professional evolution beyond vibe coding.
A Practical Guide to Building Agents
A practical introduction to the model, tools, and instructions that make up a useful AI agent.
LLM Agents in 2025: Definition, Use Cases, and Tools
A plain-English map of how LLM agents moved from reactive chat to autonomous task execution.
How to Build an AI Agent with LLMs
A low-barrier introduction to the building blocks of LLM-powered agents.
The Six Levels of Agentic Engineering
A ladder for understanding how teams move from manual supervision to higher levels of agent delegation.
Implementation and design patterns
Choose a Design Pattern for Your Agentic AI System
How to choose between single-agent, sequential, loop, coordinator, swarm, and human-in-the-loop patterns.
The Ultimate LLM Agent Build Guide
A production-minded view of memory, context, tools, guardrails, and multi-agent reliability.
Design Patterns for Agentic AI Systems
A pattern-oriented approach to coordinating machines that reason, delegate, and work together.
Agentic Engineering: Systems Architecture First
Why agentic engineering is mostly architecture, contracts, failure analysis, observability, and eval design.
Designing and Deploying Production-Grade Agentic AI Workflows
A lifecycle view of workflow decomposition, MCP integration, tool design, deployment, and maintainability.
Architecture, governance, and security
From Prompt-Response to Goal-Directed Systems
How agentic AI architecture evolves from stateless response generation to goal-directed control loops.
Production-Grade Autonomous AI Systems
A technical guide to reflection, tool use, planning, multi-agent collaboration, and enterprise reliability.
From Craft to Constitution
A governance-first paradigm for turning agent development from brittle craft into principled engineering.
A Threat Model for Generative AI Agents
How ATFAA and SHIELD frame the security risks unique to autonomous, tool-using AI agents.
AI Agent Identity Security: The 2026 Deployment Guide
Why production agents need explicit identity, scoped delegation, and enforceable trust boundaries.
Part VIII — The Agentic Business
The Economics of Agentic Engineering
How to think about agentic engineering through unit economics, leverage, marginal cost, and measurable business outcomes.
Building and Leading Agentic Teams
How engineering leaders can organize roles, rituals, review loops, and operating standards for teams that use agents every day.
AI Product Management
A product management guide for AI-native features: choosing workflows, defining success, managing uncertainty, and shipping responsibly.
Vendor and Model Strategy
How to choose models, vendors, routing strategies, fallback plans, and governance practices without locking the business into brittle dependencies.
Legal, IP, and Compliance
The practical legal and compliance questions teams must answer before using agents in real business workflows.
Organizational Change Management
How to move an organization from scattered AI experiments to durable agentic capability without creating fear, chaos, or unmanaged risk.
Competitive Strategy in an AI-Native Market
How agentic capability changes competitive advantage, speed, defensibility, customer experience, and operating models.