Stories by eigenBasis

Gemini for Go Developers: Building Agents in Go

Effectively Does a Model Use Its Memory (2025)

AI Agent Memory Design: What Works and What Doesn't

Learn Vectorized Thinking in Python Through Examples

Python Data Classes Beyond the Boilerplate

Python Libraries That Make Data Cleaning More Enjoyable

Dreams, Reflections, and Inceptions

Retrieval vs. Memory in Agentic AI Systems

Gemini for Go Developers – Part 1: The Gemini Model Family

Data Warehouse Isn't Integrated Just Because the Tables Are in One Place

The CPU is back: Rethinking the CPU-GPU split for LLM inference

The PR Shipped. Did the Engineer Grow?

How to fine-tune open weights models

Support queue is a documentation audit; here's how to read it.

Static vs. Dynamic vs. Continuous Batching in LLM Inference

What Is Open Source Developer Relations?

Semantic Memory for Hermes Agent with LanceDB

Fine-Tuning from First Principles: LoRA, QLoRA, Serverless Fine-Tuning

PyTorch Multi-Process Inference Weight Sharing via Inter-Process Communication

Building Agentic Workflows in Python with LangGraph

1 2 3 4 5