Agents

My experiences of effectively using AI for personal workflows, with a focus on Claude Code.

spoiler: most tools will not even survive 90 days. this guy is literally giving away the exact 2026 playbook for AI Agents. he covers what to learn, what to build, and what to skip 👀 ↓ read this today

An important primitive for the new "AI agent era"

A unified theoretical framework for structured test-time scaling, showing how topology compression, scope isolation, and decoupled verification—a three-layer structural decoupling—bypass the linear collapse of long-horizon reasoning across multi-agent systems, recursive architectures, and coding agents.

this is a work in progress mental dump on interesting intersections between how we use and design a harness, implications for memory being accumulated over long timescales, and the search bitter lesson we can’t escape this

An overview of four durable agentic patterns, from deterministic workflows to autonomous multi-agent orchestration, and the trade-offs each architecture introduces.

Learn how Databricks Agent Bricks, Unity Catalog Functions, and Vega‑Lite let multi‑agent systems return governed, portable visualizations instead of just raw tables.

So far I only have one: Inflicting unreviewed code on collaborators, aka dumping a thousand line PR without even making sure it works first https://t.co/rg6LVi9zkk

Master AI engineering with 30 essential AI systems engineering patterns. From RAG and LLM gateways to multi-agent orchestration and flow engineering, discover the definitive guide to robust LLM design patterns that bridge the gap between traditional software architecture and modern AI development.

Hi, welcome to my website! This is where I share my thoughts on things that interest me, mostly tech, philosophy, history, and math.

Devin is cooked, chat.

If you’ve built an agent, you know that the delta between “it works on my machine” and “it works in production” can be huge. Traditional software assumes you mostly know the inputs and can define the outputs. Agents give you neither: users can say literally anything, and the space

The best agent products aren't the most flexible, they're the most opinionated. Learn why agents need fewer knobs, not more, and how to design around model intelligence spikes.

A step-by-step practical guide on building AI agents using Gemini 3 Pro, covering tool integration, context management, and best practices for creating effective and reliable agents.

A brain dump of all the ways I've been using Claude Code.

Build powerful multi-agent systems with Agent Development Kit

This blog has been co-authored by Hanfei Sun, Vertex AI Agent Engine, Software Engineer, and Huang Xia, Vertex AI Agent Engine, Software Engineer. TL;DR: Vertex AI Agent Engine now integrates with the Live API to enable real-time, bidirectional streaming agents. This allows for low-latency, human-like conversations using text and audio. This post demonstrates how to quickly build a streaming agent with the Agent Development Kit (ADK), leveraging a fully managed, serverless platform that hand...

Setting up the coding agent rust project with Gemini API