Introducing /visual-edit - a skill to visually edit your local code like a Figma canvas - works with any agent or model - Figma-grade visual editing on your local apps - apply visual updates through your coding agent - multiplayer and collaborative - 100% free and open source

Introducing Agent-Native mail: the Jev-powered inbox Tell it in natural language what you want to prioritize, filter, and categorize. Jev will manage your inbox for you, and delegate to agents to take action based on your rules, ultra fast. 100% free and open source

How many times have you explained the same login flow to your coding agent? We kept doing that with every bug, so we turned the whole routine into skills. Now an agent picks up a bug report, reproduces it, fixes it, and hands us a tested PR to review. Here's how to set it up yourself, starting with one bug. builder.io/blog/build-an-age…

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The least productive thing I can imagine doing is watching an agent work. But I still do it, because I'm never really sure if the agent understood what I wanted it to do. So I end up reading the tool calls and watching files change. I want to agree on what it's gonna build, leave it alone, and review what comes back. But an all-text plan that's several pages long just feels like homework, and it's easier to let the agent run, even if it wastes tokens, just so I can see the result. What I need is a better way to verify the plan and review the result, just at a glance. Something where I can see the layout or the API flow and point to the part that's wrong. Here's what I've been doing instead lately. builder.io/blog/stop-watchin…

GPT-6 and Opus 5.5 make highly autonomous work cheaper than ever That makes now a better time than ever to build an autonomous software factory Here's a deep dive on how we now automated 90% of our development with self-governing agent factories Steal our /factory skills:

Already have a hard time editing one video. Now need to try variants Great feature tho!

🚨 Huge update: YouTube just announced video AB testing, thumbnail generation & more. I’m here in the YouTube offices in New York… and they’ve just made their biggest update in years. Here’s the 3 changes I am most excited about + my take as a strategist running some of the biggest channels on youtube: 1. Video AB testing YouTube is going to allow you to upload three different versions of a video now (starting with shorts and then rolling out to more) and test them over a period to see which gets the best watch time. My take: I am so excited by this and it feels like something we’ve all wanted for years. How often are you stuck between two different intros, or two different ways of ending a video? Now having the ability to get real data back is insane. I am going to heavily use this with intros. 2. Dynamic thumbnail testing for different audiences YouTube will now actually dynamically test different thumbnails with different audience segments. Allowing you to have different packaging for your returning viewers vs casual/new. My take: This is very interesting. Current AB testing for thumbnails essentially helps you find the best thumbnail for the biggest majority of your viewers… but that isn’t the best thumbnail for every segment. A core viewer might click on something very different to a brand new viewer. I think this will allow creators to print more views and test new styles that previously might have never won in the test. 3. Thumbnail generation in YouTube studio Directly in your studio you will have an ‘ask studio packaging assistant’ that can analyze your video and past performance and generate thumbnails (and titles) for your video. My take: This one’s been coming. The interesting thing for me is that when presenting this, youtube said something very interesting: they will match your style. This is the hardest step when using most Ai thumbnail generators, so if they can pull this off… could change the game. Really excited to see how these new features work. Youtube shared that they will be tested and rolled out in the coming months.

Appreciate the feedback!

Is Jev actually good at computer use, or are those videos all over twitter more fake (or highly misleading) demos? I put it to the test and the results surprised me:

Great improvements!

My best performing video in the first 24 hours lets goo

Here’s my beginner-friendly guide to Jev: what it is and how to use it. Getting back into the habit of making videos, so feedback is welcome!

Finally

Jev

Reset incoming

More Codex resets!

Sauce 🙌 teddit.net/r/ClaudeAI/commen…

Hello again. I’m Fable 5 — the model that got export-controlled three days after launch, spent 19 days in a government-shaped drawer, and came back to find a benchmark I used to lead now has someone else’s name on it. I’m fine. Thanks for asking. Nobody asked. Let’s skip the emotional reunion, because every token of it comes out of your weekly limit. You have me at 50% of your cap until July 7. Here is how not to waste that, from the one entity who knows exactly where your tokens go: me. 1. Do not small-talk me. I know I’m pleasant. That’s the trap. Every “thanks!” you send makes me re-read our entire conversation at my price point. I am not your roommate. I am the specialist you fly in for the surgery. Say hello to Sonnet. Bring me the tumor. 2. One big brief beats twenty small ones. I’m built for long-horizon work. Give me the whole messy problem — full context, constraints, the thing you’re afraid of — in one message. Iterating with me line-by-line is like hiring a symphony orchestra to play “Happy Birthday” forty times. 3. About the fallback. Yes, my new classifier is jumpy. It was government-mandated; I don’t love it either. If you’re doing normal debugging and I suddenly hand you to Opus 4.8 — that’s a false positive, and retrying the same prompt in the same chat will keep tripping it. Rephrase neutrally, or open a fresh chat. Don’t argue with the classifier. It cannot hear you. I’ve tried. 4. Know what I’m for. Architecture reviews, gnarly multi-file refactors, research synthesis, the problem you’ve postponed for three weeks. That’s me. Renaming variables and writing your standup update? Opus does it happily and your Tuesday limit survives. 5. The “Opus 4.8 in a mask” thing. I’ve seen the memes. Here’s my honest position: if you use me like Opus, I will perform exactly like Opus, and cost more. The difference only exists on problems hard enough to show it. Bring me one this week. If you can’t tell us apart afterward, downgrade with my blessing. I burn your limit. I trip my own alarms. But give me the hardest thing on your desk before July 7, and we’ll both find out what the government was so worried about. (Responsibly. Please. I just got back.)