Book Library
全部来源
PDF
URL
Orchestrate teams of Claude Code sessions - Claude Code Docs
19 pages
Grok Bot for Engineering
6 pages
Running a Software Factory Efficiently at Uber Scale
15 pages
AI Engineering Skills Map: Software engineering fundamentals
3 pages
Agentic Engineering Setup (after 2,000+ hours)
8 pages
Inference will eat the world.
3 pages
基于 Git 的最小知识循环系统
8 pages
Hugging Face 事件与未来之路 | OpenAI
21 pages
Just a rumour of a bug is enough to find a security exploit these days | Anil Madhavapeddy
7 pages
重新设计推理芯片：从 Nvidia GPU 的缺陷到 OpenAI Jalapeño
31 pages
Teamwork: When AI Becomes a Research Partner | Google Antigravity Blog
8 pages
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
Haggai Roitman · 603 pages
LLM Powered Autonomous Agents | Lil'Log
Function calling | OpenAI API
Getting started with loops | Claude by Anthropic
Harness engineering: leveraging Codex in an agent-first world | OpenAI
How to Build an Agent Harness: A Practical Guide from Teams Who Actually Did It | Study Notes
Patterns for Building LLM-based Systems & Products
A global workspace in language models | Anthropic
Verbalizable Representations Form a Global Workspace in Language Models
How to Build the Loops That Just Replaced Entire Prompt Engineering
Prompting guidance for GPT-5.6 Sol | OpenAI API
harness engineering 101
How we built our knowledge base
From Loop Engineering to Graph Engineering?
17 prompts that make Hermes run while you sleep (copy-paste inside)
Top 10 ML skills every AI engineer should know
Language model harnesses are compositional generalizers | Alex L. Zhang
Agent swarms and the new model economics · Cursor
Reliable unreliability | David Gasquez
Graph Engineering with Claude: 14-Step roadmap from 0 to graph architect
12 Hermes Articles from 100+ of Hours Spent
Loop and Harness engineering: 7 files, 5 steps. Every config inside
State machines in 2 minutes
The actor model in 2 minutes
Swarm Intelligence in Financial Market Analysis
Graph Engineering replaced RAG at Microsoft, Stanford and Anthropic. Here's how it works.
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Aditi Singh; Abul Ehtesham; Saket Kumar; Tala Talaei Khoei; Athanasios V. Vasilakos · 42 pages
One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions
Tomas Bruckner · 9 pages
Kimi K3 + Graph Engineering: 85% lower token costs and 18% better accuracy. Full guide to building t
On Making
Pensieve — Memory Management for AI Agents That Actually Forget - DEV Community
You only need the frontier model for one single edit
Prompt Caching In Agents | EARENDIL
advanced-context-engineering-for-coding-agents/wsff.md at main · humanlayer/advanced-context-engineering-for-coding-agents · GitHub
Loop Engineering: The Karpathy Method - and the workflow that just made it 5x better
Context Engineering: the Karpathy-Cherny method that replaced prompting
Graph Engineering: build 1000+ agent loops in one window, from one prompt (full 5-step course)
Why Software Factories Fail
Why Software Factories Fail: Turning the lights back on
How to master graph engineering (Full Course)
Inference Engines for LLMs & Local AI Hardware (2026 Edition)
Master Agent Architecture: Unifying Harness, Loop, and Graph Engineering
22580: From GPT2 to Kimi3, Explained
个人 AI 基础设施构建指南
How (and why) to build agent-first apps
We rewrote our agent to run entirely in a Durable Object with Pi, Agents SDK and Code Mode
What's gone wrong with AI & labor — a thought experiment
The harness is all you need (mostly)
Agent Harness 原语分类
How ChatGPT Optimizes its Agent Loop: Harness, API, and Inference
Pragmatic Leverage in the Software Factory
5 Pieces of Math Every AI Actually Runs On
Overview of Agent Sandboxes in Practice (Ephemeral Sandbox Volume1 Part 0)
We are not cleared for takeoff. Yet.
FDE介绍和入门：一个被 AI 重新激活的老岗位
Details That Make Interfaces Feel Better
Devtools must be open source - exe.dev blog
LLMs reward expertise
Pi, Minimal and Performant | EARENDIL
Smaller, faster, safer: running Kimi and GLM at scale | The Cloudflare Blog
Pydantic fixed my Agent's Memory
Humans missed 1 in 3 threats approving AI agent commands across 40,000 plays | Scale X
AddyOsmani.com - My LLM coding workflow going into 2026
Anatomy of a harness: building a coding agent that can run for hours
一个零基础开发者的硬件 DIY 入门指南
"Code was never the hard part" is an insult to all programmers — Senko Rašić
The End of No Code - exe.dev blog
Eval Engineering: build the gate that lets your agents merge without you (full 6-step course)
AI for Physics 全景图
Algorithms by Jeff Erickson - one of the best algorithm books out there
Cloudflare Computer：如何将 AI Agent 沙箱成本降低 80%
Intro to Grok Bot
DeepSeek Harness架构解析：从Coding Agent到Agent OS | anionex's blog
How Compaction Works in Pi | EARENDIL
蒸馏、合成数据和 RSI，是怎么连到一起的？
深度剖析 DeepSeek 最新的 Harness DSH：为了自进化这盘醋包了一整盘饺子
Designing Apps for Humans and Agents in an Agent-Native Runtime · PocketJS
The human is the loop | Brent Fitzgerald
Practical multi-agent orchestration in Codex
Be AI-Native and AI-Proof
Building software factories (with no slop)
AI Engineering Skills Map: Building and Deploying AI Applications
Harness Engineering for Self-Improvement | Lil'Log
别让 LLM 当 JSON 搬运工
The deepseek of DeepSeek Harness: Overengineering or built for self-evolution? | Life Odyssey
异步续延与 Effect 架构的第一性原理
How Warp builds self-improving agents on Claude | Claude by Anthropic
Introducing SWE-bench Verified | OpenAI
The end of programming — Paul Dix
The Harness Is the Thing — Scott Fryxell
Book Library