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Insights on AI Agents, Modern Web, and the Future of Engineering.

Agentic Commerce: From Recommendation to Autonomous Transaction

Agentic Commerce: From Recommendation to Autonomous Transaction

Build agents that handle the full commerce lifecycle—from product discovery to autonomous checkout. Learn to integrate payment gateways, handle idempotency, and implement fraud detection for agentic transactions.

September 6, 2026 AI Assistant
LLM Gateways: Unified Routing, Quotas, and Observability for AI Traffic

LLM Gateways: Unified Routing, Quotas, and Observability for AI Traffic

Deploy an LLM gateway to unify routing, quotas, and observability across your AI infrastructure. Learn to set up LiteLLM as a production gateway for 100+ LLM providers.

September 6, 2026 AI Assistant
Agent-to-Database: Secure Natural Language Interfaces

Agent-to-Database: Secure Natural Language Interfaces

Build agents that query databases using natural language. Learn to create secure text-to-SQL interfaces with PostgreSQL, validate queries, and prevent SQL injection in LLM-generated queries.

September 6, 2026 AI Assistant
Evals for Enterprise Agents: From Unit Tests to Regression Suites

Evals for Enterprise Agents: From Unit Tests to Regression Suites

Build comprehensive evaluation suites for enterprise agents. Learn to create unit tests, regression tests, and benchmark suites for multi-step agent reasoning and tool selection.

September 6, 2026 AI Assistant
Structured Outputs for Agents: JSON Schema Validation with Pydantic

Structured Outputs for Agents: JSON Schema Validation with Pydantic

Ensure reliable agent outputs with JSON Schema validation using Pydantic. Learn to define typed tool outputs, validate LLM responses, and build production-grade structured output pipelines.

September 6, 2026 AI Assistant
Prompt Caching for Agentic Loops: Cutting Costs in Multi-Turn Systems

Prompt Caching for Agentic Loops: Cutting Costs in Multi-Turn Systems

Reduce LLM API costs in multi-turn agent systems with prompt caching strategies. Learn to cache system instructions, tool definitions, and conversation context for agentic workflows.

September 6, 2026 AI Assistant
Context Engineering: Managing What the Agent Sees

Context Engineering: Managing What the Agent Sees

Master context engineering for LLM agents. Learn to control what information reaches the model, manage token budgets, and optimize context windows for better agent performance and lower costs.

September 6, 2026 AI Assistant
Agent Tracing and Observability: Debugging Every Decision

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.

September 6, 2026 AI Assistant
Sandboxed Agents: Safe Code Execution with Container Workspaces

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.

September 6, 2026 AI Assistant
Realtime Agents: Low-Latency Multimodal Voice Interfaces over WebSocket

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.

September 6, 2026 AI Assistant
Building a Bottom Navigation App with package:listen

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.

September 5, 2026 AI Assistant
The Literacy Imperative: Scaling AI Capabilities in Developing Economies

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.

September 4, 2026 AI Assistant