I won a Mac mini at our offsite 🥹 🌲 Super grateful and very excited to put another machine to work on @DarkbloomAI + run an unreasonable amount of open-weight models locally. Open intelligence ftw!

Pi 1.0 版本发布，版本和方向迎来大更新🔥 不要只看到是一个版本的迭代，最值得看的是 PA 把自己拆成了两个方向 Pi 继续做一个极简 Coding Agent，在做真正复杂的长期 Agent Runtime，被单独拆成了 Pi Durable 先说 1.0 本身几个比较重要的变化： 1、Codemode 又瘦了一轮 以前默认 Tools + Codemode，大概需要 5300 Token，现在压到了 3300 左右。 能力没有变少，但默认塞进 Context 的东西反而更少了。 这个还是很 Pi。 2、MCP 开始进入稳定阶段 0.99 刚把 MCP 放进 Core，1.0 又继续补 OAuth、Credential、Auth Server 这些细节。 再配合 Tool Search、Deferred Tool、Codemode，Pi 现在的思路已经很明确： 工具可以很多，但模型这一轮不需要全部看到。 3、Radius 正式进入 /login 现在可以直接在 Pi 里面登录 Radius，而且还会问你要不要顺手把 Radius MCP 配好。 之前 Earendil 说 Radius 不会一直只是一个 Model Router，现在已经开始慢慢往 Pi 生态里面继续深入了。 4、真正的大变化其实是 Pi Durable 这个我觉得才是 1.0 最值得看的地方。 Pi 继续负责： 终端、Coding、交互式任务。 Pi Durable 则开始负责： 长期运行、任务恢复、多 Conversation、后台 Compaction、多客户端控制。 也就是说，之前一直讨论的那个问题终于有答案了： Pi 并没有准备把自己越做越重，最后变成一个长期 Agent。 而是直接拆成两条路。 Pi = 极简 Coding Agent Pi Durable = 长期 Agent Runtime 这就很Pi，重的内容放在Pi Durable，保留干净的还是放在 PI，主要是这是我没有想到的道路，我一直以为会把 PI 再往上加东西，结果直接开了条新的路

StepFun debuts on the Vals leaderboard with Step 5 Preview, ranking #7 among open-weight models, just ahead of Qwen 3.8 Max. It costs $2.54/task.

别再折腾 opencodex 了，直接换 magpie 真的是相见恨晚，这才叫本地代理该有的样子。 opencodex 走的是 webui，配置偏繁琐，生态也主要围着 codex 转。 magpie 则是把「任意订阅/任意 agent 产品」里的模型，一键代理给「任意其他 agent 产品」用，例如，可以在 codex 里跑 deepseek、grok，还能接 workbuddy 的模型，甚至把腾讯云 tokenhub 的模型也拉进来。 更关键的是，它是轻量桌面端应用，小而快，上手简单但功能齐全：内置 agents、providers、usage、sessions 全套管理，开箱即用。 感谢开发大佬 @yetone usemagpie.ai

it's easy to fall into the trap of micromanaging your agents instead of correcting the environment that shapes its behavior. pstack 0.15.9 now ships a new /correct skill: if you keep correcting agents for the same mistakes, it finds the pattern and fixes it with architecture, types, and checks. i like to imagine that commits rapidly flowing into the codebase are like a bonsai tree rapidly growing in whatever direction it pleases. what you want to do is not to give in to the chaos, but tame it intentionally with the right constraints 0.15.9 also has improvements to: • /architect: now includes instructions on designing agent friendly architecture • a new /benchmark-checklist skill based on @brendangregg's benchmarking checklist here's a prompt you can give to grok bot to start architecting a better codebase with pstack: /poteto-mode create a new Project agent to refactor and rearchitect my repo so that our architecture is more agent friendly. it should use both the /correct and /architect skill to look through past commits and find the most common pitfalls that agents fall into, whether its with code quality, performance, or bugs. if relevant you can also use the /recall skill to find past conversations for context. it should make a high level plan for me to review. it should also answer its own open questions by prototyping rather than defer to me. come back to me with a plan backed by real data. once i approve the plan, use either the stack or full autopilot playbook (ask me which i want) to execute