AI

What caught my eye in Claude Code this time was not the fact that it shipped another command. It was that it finally started treating orchestration as something worth caring about. /workflows looks like a feature toggle on the surface, but it feels more like a boundary line. It moves agents from “helpers that answer questions” toward “execution units that run by rule.” The change is quiet. It is not flashy. But I think it matters. ...

It is tempting to look at today’s coding agents and believe that backend development is about to become a one-shot prompt. I do not buy it. Not because LLM agents cannot write code. They clearly can. They can add endpoints, patch CRUD flows, generate migrations, update tests, and edit multiple files with impressive speed. The real problem is more annoying: the most important parts of a backend system are often not written in the first line of the ticket. ...

I am increasingly convinced that the real significance of AI agents is not that they are “yet another tool that can chat.” It is that they are quietly changing the smallest unit of work. In the old model, if you wanted to scale what one person could do, the first move was usually to hire someone. Now the first move is often different: break the workflow apart, delegate the automatable pieces to agents, then keep yourself in charge of judgment, coordination, and final review. ...

I’m more and more convinced of one thing: AI video is heating up again not because models suddenly learned how to make films, but because the input layer changed. For a while, everyone treated prompt writing like a contest. You had to know shot language, pacing, style cues, and how to avoid broken hands, broken faces, and broken subtitles. That works for power users. For everyone else, it gets old fast. People are not here to take a prompt exam. They are here to ship content. ...

Google changed its search box. That sounds like a tiny product update. The search box is one of the oldest and most ordinary interfaces on the internet. You type a few words, get a page of links, scan some blue titles, dodge some ads, and click whatever looks useful. We have used that pattern for so long that it almost no longer feels like an interface. But I do not think this is just a small UI change. ...

The phrase “second brain” has been stretched almost to the point of meaninglessness. For years, plenty of products have claimed to be your second brain. Most of them ended up being nicer notebooks. You save articles, clip pages, write thoughts, tag ideas, connect notes, and then most of that material sits quietly in a folder. Sometimes you search it. Sometimes you rediscover something useful. Sometimes you just feel mildly guilty about how much you have collected and how little you have reused. ...

I increasingly think the most important race in AI video is not who understands prompts better. That may sound odd. For the past two years, AI video has been almost inseparable from prompting: how to describe camera movement, how to specify style, how to keep characters consistent, how to avoid broken hands, fake text, and weird cuts. People who write better prompts do get better results. But that is also the problem. ...

I have seen too many versions of the same meeting recently. Someone says the company needs to “go all in on AI.” A vendor shows a polished agent demo. A manager imagines every employee suddenly having three tireless digital coworkers. The deck looks great. The numbers look even better. Then the work hits reality. The data is messy. The process was never clearly defined. Permissions are vague. Nobody knows who verifies the output. The agent produces something plausible, someone trusts it too early, and now the team is spending more time cleaning up after AI than doing the work itself. ...

A clear signal showed up on GitHub Trending today: agent skills are having a moment. On the daily chart, obra/superpowers reached rank 2 with an agentic skills framework and software development methodology. K-Dense-AI/scientific-agent-skills reached rank 3 with ready-to-use skills for research, science, engineering, analysis, finance, and writing. The monthly chart is even louder: mattpocock/skills, multica-ai/andrej-karpathy-skills, ComposioHQ/awesome-codex-skills, addyosmani/agent-skills, NousResearch/hermes-agent, zilliztech/claude-context, and rohitg00/agentmemory all appear in the same cluster. This is not just another batch of prompt templates. ...

OpenAI recently brought Codex into the ChatGPT apps for iPhone, iPad, and Android. At first glance, that sounds simple enough: now you can use Codex on your phone. I do not think that is the interesting part. Honestly, who wants to review code diffs on a phone for half an hour? That sounds more like punishment than productivity. The real point of Codex Mobile is that it turns the phone into a remote control for AI coding agents. The code still runs on your laptop, Mac mini, devbox, or remote environment. The phone is there for checking progress, answering questions, approving commands, changing direction, and dropping in a new task when an idea shows up. ...