Starts
Wed 8 Jul, 16:00
Ends
Wed 8 Jul, 18:00
About This Workshop
Python is excellent for experimentation, but when it’s time to ship AI agents to production, you need the performance, concurrency, and type safety of Go. In this hands-on workshop, we will abandon the Python notebooks and build a robust, autonomous AI Agent from scratch using Go. We won’t just be making API calls; we will architect a system capable of reasoning, planning, and executing tools safely. What we will build: We will build a CLI-based DevOps Agent. By the end of the session, you will have a compiled binary that you can ask to perform tasks (e.g., "Check the disk usage, and if it's over 80%, compress the log folder"). The Workshop Flow: The Foundation: creating a clean interface to LLMs (OpenAI/Anthropic) decoupling the provider from the logic. The Brain: implementing the ReAct (Reason + Act) loop using a custom Go state machine. The Tools: using Go interfaces and struct tags to create strongly-typed tools that the Agent can invoke. Safety & Concurrency: adding context for timeouts and Goroutines for parallel processing. No magic frameworks. Just standard library Go and solid engineering principles.
