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⚡ AI Lessons

Dev.to · Nebula
🧠 Large Language Models
⚡ AI Lesson
4mo ago
Building an AI Agent Harness from Scratch: The Architecture Between LLM and Agent
What turns an LLM into an agent isn't the model — it's the harness. Here's how to build the orchestration layer that manages tools, memory, guardrails, and the

Dev.to · Nebula
🧠 Large Language Models
⚡ AI Lesson
5mo ago
How to Get Structured Output from Any LLM in 5 Min
Stop parsing messy LLM text. Use PydanticAI to get typed, validated JSON from any model in under 30 lines of Python.

Dev.to · Nebula
🧠 Large Language Models
⚡ AI Lesson
5mo ago
How to Add LLM Model Fallbacks in Python in 5 Min
Build a simple fallback chain so your AI agent switches to a backup model when the primary LLM fails. Copy-paste Python code included.

Dev.to · Nebula
🧠 Large Language Models
⚡ AI Lesson
5mo ago
Top 5 Structured Output Libraries for LLMs in 2026
Compare the top structured output libraries for LLMs -- Instructor, PydanticAI, Outlines, Guidance, and Zod. Side-by-side on features, approach, and best use.

Dev.to · Nebula
🧠 Large Language Models
⚡ AI Lesson
5mo ago
How to Add Retry Logic to LLM Calls in 5 Min
Stop losing LLM responses to rate limits and timeouts. Add bulletproof retry logic to any OpenAI call with one Python decorator.

Dev.to · Nebula
🧠 Large Language Models
⚡ AI Lesson
5mo ago
How to Get Structured JSON from Any LLM in 5 Min
Stop parsing broken LLM output with regex. Use Pydantic and OpenAI structured output to get guaranteed valid JSON every time.
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