Articles by eigenBasis
37

The CPU is back: Rethinking the CPU-GPU split for LLM inference (redhat.com)

2

The PR Shipped. Did the Engineer Grow? (thelongcommit.com)

1

How to fine-tune open weights models (fastino.ai)

1

Support queue is a documentation audit; here's how to read it. (knowledgeowl.com)

2

Static vs. Dynamic vs. Continuous Batching in LLM Inference (machinelearningmastery.com)

1

What Is Open Source Developer Relations? (opensourceonpurpose.substack.com)

1

Semantic Memory for Hermes Agent with LanceDB (lancedb.com)

1

Fine-Tuning from First Principles: LoRA, QLoRA, Serverless Fine-Tuning (debnsuma.github.io)

1

PyTorch Multi-Process Inference Weight Sharing via Inter-Process Communication (leimao.github.io)

3

Building Agentic Workflows in Python with LangGraph (machinelearningmastery.com)

2

You can write in LLMese, but you don't have to (passo.uno)

1

Building AI Agents? Here Are Some Anti-Patterns to Avoid (machinelearningmastery.com)

2

Documentation is still in your Mum's filing cabinet (gerireid.com)

7

Choosing the Right AI Agent Memory Strategy: A Decision-Tree Approach (machinelearningmastery.com)

1

Building Kafka-Less Data Integration Pipelines with Debezium (debezium.io)

1

Tools vs. Subagents: Building Effective AI Agents Without Over-Engineering (machinelearningmastery.com)

1

How to Throw a GPU at a Problem (youtube.com)

6

Cache-Conscious Data Layout in Rust: Field Zoning, False Sharing, 128-Byte Rule (debasishg.github.io)

2

When docs become performance art, everybody loses (2025) (passo.uno)

1

Context vs. Memory Engineering in Agentic AI Systems (machinelearningmastery.com)

2

Model Context Protocol Explained in 3 Levels of Difficulty (machinelearningmastery.com)

2

The Pizza Bakery (shwethakrishnamurthy.substack.com)

9

Lies, Damn Lies and Database Benchmarks (questdb.com)

1

Judging beautiful docs, AI fatigue, and tool slop (idratherbewriting.com)

3

The Roadmap to Mastering AI Agent Evaluation (machinelearningmastery.com)

2

Building Time-Series Machine Learning Models with Sktime in Python (kdnuggets.com)

1

AI Agent Tool Design: What Works and What Doesn't (machinelearningmastery.com)

2

Agent Memory Systems and Knowledge Graphs: Letta, Mem0, Graphiti, and Cognee (codepointer.substack.com)

2

Tech Writers May Be Solving the Wrong AI Problem (thecontentwrangler.com)

2

A Case for Simulation-Driven Resilience in Agentic Data Systems (muratbuffalo.blogspot.com)

1

Agentic Search for Context Engineering (leoniemonigatti.com)

1

Fine-tuning an LLM to write docs like it's 1995 (passo.uno)

2

PyTorch Custom Operation (leimao.github.io)

4

Slowing Down (ssp.sh)

1

The Seven-Action Documentation Model (passo.uno)

2

A CS student's job hunt in 2026: an honest playbook (medium.com/sjonany)

1

2026 vibe coding tool comparison (technically.dev)

1

AI Isn't Replacing Curious Developers (dataengineeringcentral.substack.com)

1

Orchestrate subagents at scale with dynamic workflows (claude.com)

2

Benchmarking Vortex File Format vs. Parquet, CSV vs. DuckDB, Polars, Datafusion (dataengineeringcentral.substack.com)

1

How to Enter Side Doors (velvetnoise.substack.com)

2

RLS sounds great until it isn't (planetscale.com)

1

DeepSeek Sparse Attention (github.com/rasbt)

1

Building Context-Aware Search in Python with LLM Embeddings and Metadata (machinelearningmastery.com)

3

A Comma and a Question Mark (thetypicalset.com)

1

Preconditioning Vectors: Making Elasticsearch VectorDB BBQ Work for Every Vector (elastic.co)

1

Up to 3x faster stored-vector queries in Elasticsearch (elastic.co)

2

Writing clear docs when you naturally think in code (knowledgeowl.com)

1

State Space Models, Explained Through Code (karthik-ragunath-ananda-kumar-blogs.not...

2

Building Vector Similarity Search in PostgreSQL with Pgvector (machinelearningmastery.com)

1

How to Clean Time Series Data in Python (freecodecamp.org)

1

How to Work and Compound with AI (eugeneyan.com)

2

How to Write to SSDs (arxiv.org)

1

Snowflake with Iceberg: Lakekeeper, Dbt, and Some Sparks Flying (medium.com/fresha-data-engineering)

1

Scalar and Binary Quantization for Pgvector Vector Search and Storage (2024) (jkatz05.com)

1

Recent Developments in LLM Architectures: KV Sharing, MHC, Compressed Attention (substack.com)

1

Asynchronicity in Continuous Batching (huggingface.co)

1

Elastic Cloud on Kubernetes, simplified: zone awareness, restarts, and mTLS (elastic.co)

1

Kicking the Tyres on Harbor for Agent Evals (rmoff.net)

5

Time-Series Feature Engineering with Python Itertools (kdnuggets.com)

1

You Won't Finish This Article. Why people online don't read to the end. (2013) (slate.com)

2

Choosing the Right Agentic Design Pattern: A Decision-Tree Approach (machinelearningmastery.com)

2

LLM Observability Tools for Reliable AI Applications (machinelearningmastery.com)

1

The Assignment That Tells Hiring Managers Nothing New (stevearrants.substack.com)

5

The Cognitive Overload of AI Development (dataengineeringcentral.substack.com)

2

Implementing a Virtual Filesystem over Elasticsearch (leoniemonigatti.com)

1

How to Build Vector Search from Scratch in Python (kdnuggets.com)

1

The Two Abstractions of System Design: Hide or Reduce (muratbuffalo.blogspot.com)

2

How Do You Know If a Skill Is Any Good? LLM-as-Judge Scoring (instructionmanuel.com)

1

Context Engineering for Agents: A Goal, a Map, and a Way to Know It Arrived (instructionmanuel.com)

2

Elasticsearch's BBQ vs. TurboQuant: 10–40× faster on CPU and lower ranking noise (elastic.co)

1

The Roadmap to Mastering Tool Calling in AI Agents (machinelearningmastery.com)

1

Agentic RAG Explained in 3 Levels of Difficulty (machinelearningmastery.com)

1

Writing Better – Julian Shapiro (julian.com)

7

Dr. Jordan B. Peterson's 10 Step Guide to Clearer Thinking Through Essay Writing (2017) (medium.com/practicecomesfirst)

2

Making Your Writing Work Harder for You (kalzumeus.com)

4

Everyone Should Write (collabfund.com)

1

Task-Specific LLM Evals That Do and Don't Work (eugeneyan.com)

1

Content Engineering with Claude Code (ahrefs.com)

1

Building AI Agents in Python with Pydantic AI (machinelearningmastery.com)

3

FOMO as a Developer: You're Not Behind, You're Just Human (nikola-breznjak.com)

1

Effective Context Engineering for AI Agents: A Developer's Guide (machinelearningmastery.com)

4

What Claude Shannon Knew in 1950 That We're Pretending Is New (thecontentwrangler.com)

1

Product Evals in Three Simple Steps (eugeneyan.com)

1

Cyborg Technical Writers – Augmented, Not Replaced, by AI (idratherbewriting.com)

1

Start Blogging (Even If Nobody Will Read It) (nikola-breznjak.com)

2

Quantization for Neural Networks (leimao.github.io)

1

The future is open: Answering the most common tech writing worries (passo.uno)

2

What Makes Docs Beautiful? (passo.uno)

2

AI Agent Memory Explained in 3 Levels of Difficulty (machinelearningmastery.com)

1

Cute Matrix Transpose (leimao.github.io)

2

Tackling the Biggest Unsolved Problems in Math with 3Blue1Brown (youtube.com)

1

Automate the Path from Data to Predictive Insights with Agentic ML in Snowflake (snowflake.com)

2

Agents don't sleep, but your infra (and brain) might need to (mehdio.com)

1

Memory Scaling for AI Agents (databricks.com)

4

The most beautiful formula not enough people understand [video] (youtube.com)

1

The Complete Guide to Inference Caching in LLMs (machinelearningmastery.com)

1

High fantasy map of tech writing (AI edition) (passo.uno)

3

The Missing Context Layer: Why Your LLM Agent Can't Do More Than Text-to-SQL (airbyte.com)

3

Autonomous AI Agents Become Secure by Design with Nvidia OpenShell (nvidia.com)