Reading List

Books, papers, articles, and talks that have shaped how I think about building software — plus a daily digest of high-signal technical content.

Daily Brief

Daily BriefApril 9, 2026

Daily Research Brief

·AI capability is outpacing public deployment policy: both Anthropic and OpenAI independently decided this week that their most capable cyber models are too dangerous for general release, marking a visible inflection point in how frontier labs handle dual-use risk.
·Agent infrastructure is becoming a managed-cloud product category. Anthropic's Claude Managed Agents abstracts away orchestration, sandboxing, and scaling entirely — the same direction AWS and Google took with their agent platforms. The platform layer is solidifying fast.

11 items3 papers8 posts

→

Past Issues — 3

April 8, 20266 items

Anthropic and Meta both launched flagship agent/model products on the same day, signaling a deliberate race to own the managed-agent infrastructure category.

SecurityAgent ToolingLLM Research

hover · scroll to browse →

April 7, 20266 items

Frontier labs are now publicly acknowledging that their most capable cyber models cross a threshold where unrestricted release would cause real-world harm. This is a new category of AI safety decision.

AI Safety / SecurityInfrastructureAI Infrastructure

April 1, 20266 items

Agent tooling is shifting from raw code generation to governed workflows: planning, research, evaluation, tracing, and approval loops are now first-class product features.

Agent EvaluationAgent ToolingAI Infrastructure

Currently Reading

What’s on the desk right now.

Books

Technical books organized by domain.

Papers

Classic distributed systems papers and foundational AI research.

Online Resources

YouTube channels and courses for deep learning, AI, and systems.

Websites & Blogs

High-signal technical blogs and engineering resources.

Reading List

Daily Research Brief

📖Currently Reading

Programming Kubernetes

AI Engineering

📚Books

Introduction to Algorithms (CLRS)

Computer Networking: A Top-Down Approach

Operating Systems: Three Easy Pieces

The Algorithm Design Manual

Designing Data-Intensive Applications

Database Internals

Understanding Distributed Systems

System Design Interview – Vol. 1 & 2

Building Microservices

A Philosophy of Software Design

Kubernetes: Up and Running

Docker Deep Dive

Cloud Native Patterns

The Kubernetes Book

Designing Machine Learning Systems

Build a Large Language Model (From Scratch)

Natural Language Processing with Transformers

The Pragmatic Programmer

Accelerate

📄Papers

Paxos Made Simple

In Search of an Understandable Consensus Algorithm (Raft)

The Google File System

Bigtable: A Distributed Storage System for Structured Data

Dynamo: Amazon's Highly Available Key-Value Store

Spanner: Google's Globally Distributed Database

MapReduce: Simplified Data Processing on Large Clusters

Kafka: A Distributed Messaging System for Log Processing

Cassandra: A Decentralized Structured Storage System

Attention Is All You Need

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

▶️Online Resources

Neural Networks: Zero to Hero

MIT 6.824: Distributed Systems

Building AI Agents with LangGraph

But What Is a Neural Network?

Data Science & ML Career

🌐Websites & Blogs

ByteByteGo

Martin Fowler's Blog

High Scalability

roadmap.sh

Netflix Tech Blog

Uber Engineering Blog

The Morning Paper

Currently Reading

Books

Papers

Online Resources

Websites & Blogs