An exploration of the current landscape and future directions of AI agents in software engineering, covering the transition from code completion to autonomous agents that plan, execute, and verify complex tasks.
An exploration of three distinct architectural approaches to building AI agents in Go: low-level integration with the GenAI SDK, middleware-driven flows using Genkit, and autonomous agent orchestration with the Agent Development Kit (ADK).
A practical deep dive into rendering interactive agent interfaces using A2UI and Web Components with ADK, covering architecture patterns, real-world lessons, and common pitfalls.
Presentation on developing autonomous AI agents in Go, walking through design patterns from low-level API calls with the GenAI SDK to structured workflows with Genkit and full agent systems with ADK.
Hands-on workshop demonstrating how to transform standard text-based LLM chatbots into interactive, rich web applications using the Agent Development Kit (ADK), AG-UI protocol, and A2UI to map agent outputs directly to dynamic web components.
Quando sua base de código começa a te segurar, jogue tudo fora e comece do zero. Veja como substituí um pipeline RAG em Python por um agente compilado em Go com Genkit e Agent Skills.
O que realmente é necessário para construir um agente autônomo em Go? Implementamos o mesmo Avaliador de Jogos Retrô de três formas para comparar o Go GenAI SDK, Genkit e ADK.