Cineasta de mentiras · Escritor frustrado · Software engineer
Joined November 2008
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"La libertad es como la felicidad: nunca se llega. Nunca se tiene completa."
—Pedro J. Gutiérrez (Animal tropical)
Kevin Vicent retweeted
An alternate data point. This has been my best year selling self-paced video courses, which has been 98% of my income since 2022.
A great course reorients the learner in the world. It doesn't just give them new knowledge, it makes new things possible.
Also, course creation is curation. It takes a spread-out graph of information, finds the most impactful nodes, and linearises it. This means courses are fast-tracks - they get you to where you need to go faster.
So, in the AI world, what is worth learning?
For me, that has meant finding techniques which are:
- Harness-agnostic
- Model-agnostic
- Language-agnostic
...that benefit the agent and increase output quality. Because they're everything-agnostic, you can drop into any codebase and succeed.
This is a huge space. I've explored a small part of it: software fundamentals, module design, increasing test quality.
But there is SO much more there. User interfaces, company process, leadership, observability, product design.
But you've got to make the right course. I wouldn't make my "Total TypeScript" course now (sales have dropped off a cliff). That one focuses too much on API's, learning language features, aspects which are easy to ask agents about.
Instead, I'd make "TypeScript for AI", focusing on the actual things you need to know to make a productive TS codebase for agents (and it would rock, too).
It boggles my mind when people say courses are dead. The hunger for information is very much alive. Go feed it.
AI destroyed my industry. Real thing. I teach people. Always have. At one point I was earning 100k a month selling online coding courses.
Today I can’t make money with training videos if I wanted to. My peers have the same issue: AI is killing video courses. Why learn a tech skill when AI can do the work?
It’s frustrating. But it’s also an opportunity. Now I do more human coaching than ever before.
I spend way more time helping people reach outcomes (vs just a skill).
I’ve had to adapt. I have anxiety from time to time and working closely with people often drains me. But I’ve had to evolve how I work.
The same with coding and SAAS. Everything is changing.
It’s ironic, with AI I’ve personally been forced to be more human and connect at a more human level in order to connect with people and sell products. People are less tolerate of noise and slop.
I’m 40 and learning new things is harder. But I have to. And honestly, I’m having more fun learning AI than struggles and hardships.
All to say is that I’m navigating this changing world like everyone else and I think there is no need to group people in buckets of “Pro AI vs Against AI”
We are all people. And just because things are hard doesn’t mean they are wrong.
Kevin Vicent retweeted
One of the best businesses to start with Gemini 4 Argon is vibe manufacturing.
AI makes the STL file. A 3D printer makes the product. The customer customizes it before they pay.
On r/Espresso, people spend $2,500 on espresso machines. They pay $49 for a custom portafilter station.
Here is the setup:
1) Pick the niche. Espresso gear. Snowboards. A topic that you know better than other people.
2) Tell Argon to build a product customizer for Shopify. The customer selects a size and a color. A live 3D preview shows the product.
3) Put the widget in your store. The customer pays on Shopify.
4) Check the print file. Test the size limits.
5) Print and ship. One Bambu printer makes 4 units in 8 hours. For more orders, send the STL file to a print-on-demand API.
6) Then sell the widget as a service to other Shopify stores. Your margin can be 40% to 70%. Split it with the store owner.
Argon did step 2 with one prompt. Step 1 is your work. You must find an idea that your audience wants.
When people customize a product, they feel more attachment to it.
For a brand, that product stays on the customer’s desk. They see it every day.
And frontier models streamlined the build proces. Argon made the wireframe, the layers, and the CAD model. Then it exported the STL file. Few people do physical AI now, and there are millions of Shopify stores.
Pick the niche, have Argon build the widget, then print the orders.
Kevin Vicent retweeted
Meet Hermes3D
A live 3D command center for Hermes Agents
Some of you might remember Claw3D
It went viral, but it was built around OpenClaw. After moving all my workflows to Hermes, continuing to build it no longer made sense
So I rebuilt the entire idea for Hermes
Hermes Bot Mode already gives every agent its own role, model, memory, skills, tools, and personality.
Hermes3D gives that team an office
See which agents are working
See who is blocked
Inspect their tasks
Open the Kanban board
Walk up and talk to them
And when agents communicate, delegate work, or hand tasks to each other, you will be able to watch it happen inside the office in real time
Your AI team should not feel like ten invisible processes hiding inside terminal tabs.
It should feel like a workplace you can actually see and control.
Claw3D was the prototype
Hermes3D is the real vision
And of course, it is Open Source
Demo below. Repo link in the first comment
Kevin Vicent retweeted
A whole 3D office for your Hermes agents. This is sick. 🔥
This custom setup has separate departments and a live view of who's working and who's idle.
Here's a project to give your own Hermes: build a virtual office around your agents and the work they actually do.
Step 5 Preview is free on Nous Portal for a limited time right now. Select that free model in Hermes and put it to work building your own.
Kevin Vicent retweeted
5/8 Hermes from @NousResearch now gets its own computer.
The @trycua Spaces plugin gives it its own Linux, Mac or Windows space on hardware you already own.
Kevin Vicent retweeted
This one's actually useful. The new Cua Spaces plugin gives Hermes its own Linux, macOS or Windows machine on hardware you already own (or your own cloud account). Terminal, files, code, all of it runs in there, not on your laptop. You can watch it live, click in and take over, and Hermes just keeps working next to you. By default each run gets a throwaway Space that's deleted when it's done. Point it at a Space you named and it still asks before risky commands. Right call.
Kevin Vicent retweeted
Here's my updated review of each personal agent:
1. Grok Bot
Pros: A team of bots is the easiest to understand. Free X access is amazing for research. Voice mode and the new Pages feature are great.
Cons: Email feature doesn't really work.
2. Muse
Pros: Free, best consumer UX, most meme-worthy avatar, and business calling is amazing.
Cons: Muse Wonder is good but Opus/Astra is better.
3. Claude Duet
Pros: Most proactive out of the box. Feels polished and simple to use. Arguably the best model behind it.
Cons: Missing some features in research preview, like being able to drive its browser.
4. ChatGPT Dots
Pros: Works inside ChatGPT, so it can drive all your cloud and local threads.
Cons: Much better than at launch but still buggy. Voice mode is slow to connect.
I've also tried Instinct and some of the other agents, but I don't want more than 4 at a time connected to my email.
📌 Don't miss my full Claude Duet review here for everything that it can do: youtu.be/D-pz8L1orVI
Claude Duet, Anthropic’s 24/7 personal agent, is finally here.
I had early access and here’s my new video with my honest take on:
→ Why I think it's the most proactive agent
→ Why Artifacts could be its secret sauce
→ How it stacks up to Grok Bot, Muse, and Dots
Duet is in research preview and I’m sure will improve a lot over time.
📌 Watch now: youtu.be/D-pz8L1orVI
xitter.cf/claudeai/status/211298…
Kevin Vicent retweeted
Just use a max plan to build your own hosted on your hardware and open source.
Build a sandbox for
- memory (LLM-wiki)
- secrets (agent vault)
- agents (Hermes)
- connectors
- apps
Find a ZDR inference provider or host your own hardware
Agent vault and Hermes are what I use but use whatever you want.
No need to run your data through anthropic or OpenAI or SpaceX.
There’s a reason everyone has a bot these days - it’s commoditized
Kevin Vicent retweeted
if you think it's too late consider that 99% of people still have no idea that Hermes Agent exists
Kevin Vicent retweeted
5 Settings that Stops Hermes Agent from Burning extra tokens.🚀
Long chats can carry old output into every new request. Here are five settings to review. 🛠️
1. Trim old results once the chat passes 48,000 tokens. This cleanup needs no extra AI call.
2. Cap terminal output at 20,000 characters.
3. Cap each file read at 40,000 characters.
4. Choose a cheaper model to summarize old messages. Check that it can hold as much text as your main model.
5. Turn off toolsets you don’t use. Run `hermes tools` to choose them.
The video shows all five. Copyable commands are in the reply. 👇
These are suggested limits, not tested savings. Lower caps may hide useful details. Trimming old results can also make the next request cost more.
Change one setting. Repeat the same task. Keep it only if the answer stays useful and token use improves.
Stop Guessing Where Your Hermes Tokens Go. 👀
Hermes Agent already ships the commands that answer it. Most people never run them.
I went through the built-in help in v0.22.2 and picked the four I'd run first.
▸ How much of every request is spent before you type a word?
👉hermes prompt-size
It splits the fixed budget into system prompt, skills, memory and tool schemas. Runs offline.
▸ Where did the tokens and money go?
👉hermes insights
▸ Approving the same command again and again?
👉hermes approvals suggest
It reads your past approvals and proposes allowlist entries. You decide what goes in.
▸ Is anything you installed on a known vulnerability list?
👉hermes security audit
It checks the Hermes venv, plugin dependencies and pinned MCP servers against OSV.dev.
These come from the v0.22.2 help pages, not a recorded test. What you see depends on your setup and history.
4 more commands most people skip are in the first reply.
Kevin Vicent retweeted
React → Foldkit: @Mapledotdev just made the switch.
The requirements:
- Port 287,000 lines of React code
- Keep the exact same UI (0px tolerance)
The result:
- Completed in 3 days
- Agent-friendly architecture
- Improved performance
- End-to-end tracing
- @EffectTS_ across the stack
My favorite excerpts from @makisuo’s blog post:
“The React app worked, but changing it had gotten expensive. Data on a page came from atom hooks, each with its own cache key and lifetime, and there were about 520 of those hook calls spread over 208 files. If you wanted to know what happens when someone switches org while a query is still running, you had to read every component on the page and work out the order they render in.”
“[In Foldkit,] there are no hooks and no component state, so the org-switch question has one answer, and it’s a single case in update. Foldkit’s Scene tests run update in Node without a DOM, so we can test that case directly.”
Last weekend I moved Maple off React and onto @foldkit
100+ pages, 300k+ lines of React. Took me a few hours planning and building a validation harness, then 3 days with Claude to run the rewrite. The result is a 1:1 clone down to every. interaction and animation, with renders ~10% faster on average
It's been in production for a week and nobody noticed the switch
If you spend the time on a good validation harness, you can rewrite almost anything now
Wrote a bit more about why here: maple.dev/blog/react-to-fold…
Kevin Vicent retweeted
Claude Duet has made focused work so much easier! Not having to be "on" all the time is so nice, way less context switching
My setup is boring lol but I have it watch Slack/email/cal and only ping me when it matters (even threads I'm not in), often with a doc/design for context!
Kevin Vicent retweeted
Vale la pena, para los que lleguen a leer por aquí, que entren a este post
tanstack.com/start/latest/do…
Kevin Vicent retweeted
My open source bots-on-Cloudflare project is turning out great.
Each bot has a little ecosystem of its own
- a browser (Kitesurf)
- skills you teach and reuse
- an isolated filesystem
- a real shell via cloudflare/shell
- a container when it needs one
- apps it builds and hosts for you (dynamic workers ftw)
- it can monitor external things on its own, you dont need to tell the bots to do something.
I will release it soon I swear, got sucked into an feature rabbit hole
Tanstack Start on Cloudfare workers for Tabulari
With 70 million AI-generated apps created on its platform, @Lovable migrated from Next.js to TanStack Start on Cloudflare Workers.
Co-founder + CTO @FabianHedin breaks down:
- Serving millions of apps on demand with minimal cold starts
- Why they chose TanStack Start
- Lessons from dogfooding (running Lovable itself just like any other app on the platform)
Full talk from Cloudflare Connect.
Kevin Vicent retweeted
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.ai/blog/kimi-k3-1-pro
