You can launch 100 coding agents. Who keeps them moving?
Six rules for running the software development lifecycle across a fleet of coding agents, November 2026.Over the last 30 days, coding agents...
Topic
#coding-agent
54 篇笔记
Building an AI-native engineering org
Last week Will Larson (@Lethain) asked how leaders are evaluating engineering managers for AI skills. My reply, a list of questions to think...
多 Agent 协作终极解：实测 YC 开源新作 Agent Relay，让 Claude Code 和 Codex 直接对话
这周，美国创业孵化器 Y Combinator 2026 年秋季营（YC Fall 2026）的创业公司 Agent Workforce 发布了开源项目 Agent Relay。公司的两位联合创始人分别是 CEO Will Washburn 和 CTO Khaliq Gant，其...
How I work with Agents
... as of October 2026.Use the latest and greatest models. Everything else is potentially a waste of time. If a model is wrong 10% of the ti...
How the Claude Code team does code review
How do you review code at the volume agents produce it? On the Claude Code team, once we had high coverage and deep reviews, we started optimizing for the minimum amount of human review time that doesn't raise reverts or incidents.
Redesigning source control at Anthropic
As our merges per day grew more than tenfold, source control became our biggest development bottleneck. Here, we share how we migrated to an in-house version control system in five months.
入职大厂两个月，我的 AI 开发心得
背景起因是和组里老板进行了几次 one-on-one。他对我目前使用 AI 工具、搭建个人 Harness，以及 AI Coding 的工作流很感兴趣。主要也是因为，我现在的需求做得又快又好，已经是一些项目的主 O 了。因此，我也借这个机会，整理了一下自己的日常 AI 工作流。目...
The Evaporation of Software Engineering (and the Rise of the Agentic Builder)
If you’re like me, you likely thought software engineering was a safe and secure job …In fact, I never thought I’d have to worry about a job...
Building the missing layer between AI spend and ROI
Author: René SultanAI telemetry tells us which models our agents use and what they cost, but not what we are paying them to do. We built a s...
There's no reason for software to be slow anymore
📝 摘要 Dan Luu 论证 AI 编码智能体（coding agents）已将软件性能优化的成本降低了多个数量级——过去需要专业性能工程师数天/数周完成的工作，现在普通人输入几句话即可完成。文章通过多个案例展示这一趋势：FRE 正则引擎的 AOT 编译器切换为 ripgrep 带来 7% 提速；Azul 游戏 AI 借助 LLM 实现多线程和 10-20 项手工难以完成的优化，远超人工编写的…
Running a Software Factory Efficiently at Uber Scale
Post author: @udaykiranIntroductionAI tools are now embedded in every phase of software development at Uber. More than 70% of pull requests ...
Do you need a software factory?
A software factory is a repeatable loop around software work. If you're building a software factory, code good enough to ship still needs hu...
Evaluating OpenWiki with WikiBench
OpenWiki is our open source agent for generating and maintaining codebase documentation. As we improve OpenWiki, we’ve needed to measure two...
SemiAnalysis 发布 AgentX InferenceXv3 研报，Mooncake 成为关键基础设施
SemiAnalysis 发布 AgentX InferenceXv3，用大规模真实 Agentic workload 重新审视推理系统性能。随着长上下文、多轮交互和 KV Cache 复用成为常态，Agentic Inference 正从“拼算力”走向系统级优化，而 Mooncake 也正在其中扮演越来越重要的基础设施角色。
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.
Codex as a platform: build on the open agent harness
Build Codex into the products and workflows your users already know.
Domain-Driven Design matters more when AI writes your code
The domain model and Ubiquitous Language matter more than ever when an AI agent writes your code.
What is a Harness?
An agent harness is a piece of software that provides an environment for an AI model to operate within.
Cursor Origin review: An engineer’s perspective
A detailed review of Cursor Origin, covering Git hosting, GitHub sync, cloud agents, current limitations, and whether it’s worth switching.
Designing Loops for Production-Grade Work
What became standard practice after vibe-coding a production-grade BPE tokenizer trainer without reading a single line of code.
The AI Engineering Skills Map
I am delighted to present The AI Engineering Skills Map. AI allows us to build software very differently today than in 2022, and everyone wi...
Practical Loop Engineering
Goals, loops, and the discipline of not delegating your judgment
"Issue tracking is dead"; How the pull request became the last chokepoint in the SDLC bottleneck
CodeRabbit's new Agentic Change Management layer reimagines code review as AI agents outpace human teams' ability to plan and prioritize work.
How Compaction Works in Pi
Why compaction is needed for large language models and how Pi implements it
TDD inside the agent loop - theater or actual value?
Notes from my Thoughtworks colleagues on AI-assisted software delivery
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...
LLM Inference: Past, Now, and Future — Where Does the Value Move?
LLM Inference — Past, Now, and Future: Where Does the Value Move?For the past two years, LLM inference has been one of the most contested la...
LLM Inference: Past, Now, and Future — Where Does the Value Move?
LLM Inference — Past, Now, and Future: Where Does the Value Move?For the past two years, LLM inference has been one of the most contested la...
The Agent Development Lifecycle has arrived on Cloudflare
Agents can write code faster than teams can review, deploy, and maintain it. Today we’re introducing the Agent Development Lifecycle and the Cloudflare primitives that underpin it.
Evaluating code review agents with ReviewBench
There are more code review agents now, and we’ve been building one internally. Code review is hard to evaluate. There aren’t many benchmarks...
Codex 进阶指南：作为 Multi-Agent 编排控制平面
大多数人用 Codex 的方式，是开一个会话、交代一件事、等它做完。这种用法只动用了它很小一部分能力。Codex 真正提供的是一组完整的调度原语：发现有哪些项目和会话、创建新会话、从已有会话分叉、给别的会话派活、等它们回来、观察它们的进展、纠正跑偏的那个、把任务搬到另一台机器、最...
Agency: Secure, scalable sandboxes for agents
This is part of our series on how we're AI-pilling Sierra.In our last few posts, we talked about what happens when every employee has a sing...
The harness is all you need (mostly)
A practical GitHub Copilot workflow for prototyping, planning, implementing, and reviewing software - without chasing every new AI tool.By @...
We rewrote our agent to run entirely in a Durable Object with Pi, Agents SDK and Code Mode
We recently finished moving the camelAI agent off of virtual machines. The agent now runs inside a Cloudflare Durable Object, its filesystem...
The Orchestrator's Tax
Use subagents to protect the orchestrator's working memory, not just to save time or run tasks in parallel.
Why Software Factories Fail: Turning the lights back on
This is part two of Why Software Factories FailThe talk version of this post is live on youtube: https://www.youtube.com/watch?v=Ib5GBkD555M...
Practical multi-agent orchestration in Codex
GPT-5.6 Sol gets especially interesting when it has a team to work with. Codex's new Multi-Agent V2 tools give Sol and Terra a natural way t...
The new rules of context engineering for Claude 5 models
I’ve written previously about how to best prompt the newest generation of Claude 5 models and work with them iteratively to discover what yo...
Why Software Factories Fail
or: the harness is not enoughUpdate - the talk version of this post is live on youtube: https://www.youtube.com/watch?v=Ib5GBkD555M Part 1 i...
Towards Automating Eval Engineering
Today we’re releasing our Eval Engineering Skill, a skill that helps coding agents build evals using context from a repository and agent tra...
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...
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...
You don't need ten agents. You need two tracks.
Spend enough time on the internet, and you'll see someone showing off a terminal with ten coding agents running in parallel. The implied pro...
Cursor Origin: agent-first git hosting and GitHub alternative (2026)
Cursor announced Origin on June 17, 2026—a git hosting platform built for AI agents, not just humans. Here's what it means for agentic coding teams and why it may reshape the developer tooling stack.
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 ...
MiniMax M3 & Kimi K2.7-Code: 两款中国开源前沿编程模型深度调研
MiniMax M3 & Kimi K2.7-Code: 两款中国开源前沿编程模型深度调研 2026 年 6 月第一周至第二周，MiniMax 和 Moonshot AI 先后发布了各自最新的编码/Agent 模型。两者均以开源（Open-Weight）形式发布，在编程和 Agent 能力上对标 GPT-5.5、Claude Opus 4.x 等闭源前沿模型，同时在价格上具有压倒性优势。 ----…
Loop engineering: the 14-step roadmap from prompter to loop designer.
Most developers still prompt their coding agents by hand. They type, they wait, they read the diff, they type again. 9out of 10 builders hav...
When AI builds itself
Our progress toward recursive self-improvement, and its implications.
让你的Agent从pi上长出来
太长不看：把这个丢给你的codex/claude：https://github.com/enderzcx/pi-docs-playbook别急着写 Agent，先把 pi 文档喂给 Codex 读对一开始接了个业务，只是把大模型封装了一下，以为这样就能当业务 Agent 卖出去...
Setting Up and Using the Pi Coding Agent
My experience of setting up the Pi coding agent with DeepSeek, installing packages, and using it for side projects and experiments.
Editing Files at 1000 Tokens per Second
A new model and inference method for high-accuracy full-file edits at 1000 tokens/s.
The AI-Native SDLC playbook | Claude by Anthropic
How to transform your software development lifecycle with AI—stage by stage.