Show HN: How to Build a Coding Agent (free workshop)
17 days ago
- #Coding Agents
- #LLM Fundamentals
- #AI Automation
- Building a coding agent involves understanding and utilizing LLM (Large Language Model) tokens in a loop to automate tasks.
- Key primitives for a coding agent include read, list, bash, edit, and search tools to interact with files and execute commands.
- Choosing the right agentic model (like Claude Sonnet or Kimi K2) is crucial for effective tool-calling and automation.
- Context windows in LLMs are limited; efficient use and management are essential to avoid performance degradation.
- Model Context Protocols (MCPs) act as functions within the context window, guiding the LLM on how to invoke specific tools.
- Personal development and self-investment in AI and automation skills are critical to staying relevant in the tech industry.
- The workshop demonstrates live coding of an agent, emphasizing practical application over theoretical knowledge.
- Automation through coding agents can significantly enhance productivity by allowing concurrent task execution.
- Understanding and leveraging the fundamentals of coding agents can transition individuals from AI consumers to AI producers.
- The tech industry's rapid evolution necessitates continuous learning and adaptation to new tools and methodologies.