AI agents are surprisingly simple to build, consisting of just a few hundred lines of code running in a loop with LLM tokens. The core concept involves moving from using generative AI as a tool to building complete agentic systems that can autonomously reason, plan, and execute actions. The fundamental architecture includes an inferencing loop that processes user input, analyzes responses, and executes tools when needed. Five key primitives enable coding agents: read, list, bash, edit, and search tools. Engineers should embrace building these systems to become producers of automation rather than just consumers, as this skill will be crucial for career development in the AI era.
Table of contents
The Fundamentals: The Shift from a Tool to a SystemThe Agent's Heartbeat: The Inferencing LoopThe Building Blocks: Primitives of a Coding AgentPutting It All Together: The FizzBuzz ExampleThe Career Implications for EngineersSort: