The Principles of Learning Faster.
Every day, you're learning something. From books. Conversations. Podcasts. Mistakes. Articles. Videos. The people around you.But consuming m...
Topic
#feedback-loop
22 篇笔记
Building Self-Correcting Memory in OpenWiki
Memory Has a Forgetting ProblemA memory system is only as good as its ability to forget.Most discussions about agent memory focus on creatin...
How to Build a Company Brain That Gets Smarter Every Week
I am going to show you how to turn every correction, decision, and useful workflow your team gives AI into one company brain that makes ever...
Recursive Self-Improvement
Agents can already edit their tools, skills, and harness. Recursive self-improvement still needs a system that can raise the verifier without capturing it.
7 rules for self-improving agent loops every AI engineer should know
By @Saboo_Shubham_ and @secchi_eliaWhen coding agents write the code, defining what's good is the real engineering job.Coding agents can now...
How to Build a Shared AI Harness for Your Team
I am going to show you how to turn the models, agents, skills, and automations living across your team's tools and workflows into one coordi...
所有想做 FDE 的人，都该读懂 Palantir 这套方法
大模型进入企业以后，最难的一步是把一家公司的数据、规则和权力关系，变成 AI 能够理解并安全执行的系统。2026 年 5 月，OpenAI 成立了一家专门负责企业部署的新公司。它准备投入超过 40 亿美元，并计划通过收购 Tomoro，一次带入约 150 名 Forward De...
The Orchestrator's Tax
Use subagents to protect the orchestrator's working memory, not just to save time or run tasks in parallel.
How to remember everything you read (stop trying)
If you need to remember it, it’s not important. If it’s important, you will remember it.For some reason, it’s become an obsession to remembe...
Agent 评测：方法论与体系设计
关于评测工程的体系化总结，本文或许能给出一些参考
How to Build the Loops That Just Replaced Entire Prompt Engineering
For two years, getting more out of an AI agent meant writing a better prompt.That era is quietly ending. The best engineers in the world sto...
DSLs Enable Reliable Use of LLMs
Why Domain-Specific Languages and good abstractions make LLM code generation reliable and reviewable.
A Taxonomy of Self-evolving Agents
Self-evolving agents are becoming popular. [Hermes Agent](https://hermes-agent.nousresearch.com/docs/user-guide/features/skills) enables aut...
Getting started with loops
There’s a lot of talk right now about "designing loops" instead of prompting your coding agent. If you spend some time on X trying to pin do...
Career advice in the age of AI
AI models get better at anything you can write a loss function for, and school is mostly loss functions: well-defined problems graded agains...
Trust Doesn't Live in Code Review
The gate you becameAgents write code faster than anyone can read it. This is not a forecast; it is the baseline now. A single agent, in an a...
15 AI Agent Design Patterns Every Engineer Must Know
Every team building AI agents hits the same wall.You start with one prompt and a few tools.It works. Then requirements grow. More edge cases...
AI 101: What is Recursive Self-Improvement?
How AI systems are beginning to automate coding, experiments, evaluation, and research workflows ‒ and why Anthropic, Recursive, and Sakana ...
The Agent Loop Architecture
Everyone's asking "WTF is a loop?" Here's the question nobody's asking: what runs the loop?The AI discourse has converged on loops as a core...
Loop Driven Development, in practice
In Loop Driven Development I made an argument: when coding agents do the implementation, the engineering that matters moves to the feedback ...
How Warp builds self-improving agents on Claude
How Warp devised a simple development pattern that anyone can use to create self-improving agents.
The AI-Native SDLC playbook | Claude by Anthropic
How to transform your software development lifecycle with AI—stage by stage.