Blog Archive
Agent Tracing and Observability: Debugging Every Decision
Master built-in tracing in the OpenAI Agents SDK to debug, visualize, and monitor agent workflows. Learn to create traces, spans, and custom processors for production observability.
Sandboxed Agents: Safe Code Execution with Container Workspaces
Build agents that can safely execute code, edit files, and run commands using sandboxed workspaces with the OpenAI Agents SDK. Learn to configure Docker and Unix-local sandboxes with filesystem and shell capabilities.
Realtime Agents: Low-Latency Multimodal Voice Interfaces over WebSocket
Build low-latency, multimodal voice agents with the OpenAI Agents SDK using WebSocket transport. Learn to create server-side realtime sessions with semantic VAD, structured audio input/output, and tool execution.
Building a Bottom Navigation App with package:listen
A step-by-step tutorial for creating a Flutter app with four-tab bottom navigation and per-screen state management using the listen package from the Flutter team.
The Literacy Imperative: Scaling AI Capabilities in Developing Economies
Why AI literacy—not compute or parameter counts—is the real driver of economic mobility in emerging markets, and a strategic framework for embedding it in public education.
Architecting the Modern Ecosystem: The Service Platform in Service Science
Service platforms are more than software — they are socio-technical ecosystems where actors liquify resources, co-create value, and generate innovation. Learn how service science, S-D logic, and Government as a Platform (Estonia's X-Road) reframe platform architecture.
CAPEX vs OPEX in the AI Era: Building vs. Renting Intelligence
A practical guide to understanding how Capital Expenditure (CAPEX) and Operating Expenditure (OPEX) apply to AI infrastructure, with a breakdown of the trade-offs for building your own intelligence vs. renting it on demand.
Transforming a Reactive LLM Chatbot into an Agentic System
An architectural roadmap for moving from a single-turn, reactive LLM chatbot to a smart autonomous agent: planning loops, multi-tiered memory, multi-agent delegation, dynamic tool retrieval, and self-healing.
Demystifying Graph Engineering in the Age of AI Agents
An overview of graph engineering for AI agents, covering harness, loop, and graph concepts, why it differs from knowledge graphs, and how fan-out, join, and router nodes power reliable agentic workflows.
AI-Driven Full-Stack Architecture: Token Economics of Building with Rust and Next.js
Explore the token economics of building full-stack apps with Rust and Next.js under AI-assisted workflows. Learn codebase tokenization patterns, agent loop costs, and optimization techniques.
Context-Driven Development: Managing AI Agents, System Architecture, and CI/CD with INTENT.md, DESIGN.md, and AGENTS.md
Learn how to enforce structured context for AI coding agents and CI/CD pipelines using INTENT.md, DESIGN.md, and AGENTS.md with automated GitHub Actions guardrails.
How to Connect Your Local Filesystem to ChatGPT with MCP
A complete guide to connecting your local filesystem to ChatGPT using Model Context Protocol (MCP), including setup, security best practices, and architecture patterns.