A practical starter stack for building AI agents: Python, APIs, JSON, prompts
goyalshaliniuk · x · 2026-07-27
The post says anyone building AI agents should master a core stack before touching tools like LangChain or AutoGen. It lists Python basics, REST APIs and JSON, prompt engineering, tool/function calling, high-level LLM concepts, automation logic, and debugging discipline.
The graphic expands each item: reading/writing APIs, structuring prompts, handling structured data, understanding tool schemas, dealing with context limits and sampling, automating workflows, using if/else and loops, and iterating on errors step by step. Agent frameworks are presented as optional, not the first thing to learn.
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