https://www.prashantcode.com Coding concepts explained simply — the long-form companion to @prashant.code on Instagram. en-us https://www.prashantcode.com/blog/llm-parameters https://www.prashantcode.com/blog/llm-parameters Thu, 15 Oct 2026 00:00:00 GMT Teach the six building blocks — tokens, tokenization, context window, parameters, pre-training, inference — then use them to understand temperature, top_p, and max_tokens. https://www.prashantcode.com/blog/llm-is-not-an-agent https://www.prashantcode.com/blog/llm-is-not-an-agent Mon, 05 Oct 2026 00:00:00 GMT An LLM predicts the next token. An agent observes, decides, acts, and loops. Here's why confusing the two leads to broken demos and overbuilt systems. https://www.prashantcode.com/blog/how-large-language-models-work https://www.prashantcode.com/blog/how-large-language-models-work Wed, 30 Sep 2026 00:00:00 GMT Tokens, API calls, message roles, generation settings, tool calling, streaming, and limitations — a practical reference for building with LLMs. https://www.prashantcode.com/blog/architecture-of-langchain-langgraph https://www.prashantcode.com/blog/architecture-of-langchain-langgraph Sat, 26 Sep 2026 00:00:00 GMT Follow one request from the API call through state, tool calling, conditional routing, and evaluation — the path the 31 phases are actually describing. https://www.prashantcode.com/blog/31-phases-langchain-langgraph https://www.prashantcode.com/blog/31-phases-langchain-langgraph Fri, 25 Sep 2026 00:00:00 GMT The complete roadmap from my latest Instagram reel — every phase from LLM fundamentals to advanced agentic systems, explained.