9 to 5 - Dev Advocate @builderio 5 to 9 - Dev Education @ https://xitter.cf/t.co/DyekAsnmqY (750K)
Amsterdam
Joined November 2016
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- Following596
- Followers12K
- Likes2.5K
Vishwas retweeted
Introducing Agent-Native: an open-source framework for building agentic apps.
Agents love walls of text. But humans don't.
An agentic app let's you interact with agents through a visual interface. Engage with agents visually, via text, or both at once.
Now in beta.
Vishwas retweeted
Introducing the /turn-into-app skill
Turn any agent workflow into a visual agentic app
Text is great for many things, but an agentic app with a real UI can take your agent workflows to the next level in one command
Vishwas retweeted
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
Vishwas retweeted
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
Vishwas retweeted
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…
Vishwas retweeted
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…
Vishwas retweeted
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:
Vishwas retweeted
🚨 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.
Vishwas retweeted
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:
Vishwas retweeted
Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe.
GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale.
We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.
Vishwas retweeted
I think there’s a slightly underappreciated reason coding agents work so well.
It’s not just that LLMs are getting better at code.
Software engineering happens to expose an unusually agent-friendly environment:
repo → context
terminal/tools → actions
git → state + reversibility
tests/CI → feedback
PRs → human verification
Put together, this creates a tight observe → act → verify → iterate loop.
In other words, we accidentally spent decades building a pretty good agent harness around software development.
Most SaaS products don’t have this yet. The model may be equally capable, but the surrounding environment gives it much less leverage.
Wrote up the idea + what I think SaaS can learn from coding agents:
builder.io/blog/the-real-rea…
Vishwas retweeted
I keep getting frustrated when I ask an agent to clean up some code and get another wrapper, another helper, and all the original complexity still sitting underneath.
Then I have to figure out if anything actually got better.
We’re running into this at Builder while developing Agent Native pretty much as fast as we can. People leave feedback in Slack, and an agent factory picks it up and works on it. A lot is changing, all the time.
So validation is a big deal for us. In one cleanup experiment, an agent removed a lint warning, passed typechecking, and passed all 23 tests in the focused suite. The code still used unvalidated input.
Everything passed, but we still hadn’t checked the behavior we actually needed.
I wrote up what we’re learning about asking agents to clean up code, figuring out what needs to change, and checking whether it actually got better.
builder.io/blog/de-slop-ai-g…
Vishwas retweeted
I used to work at Grafana.
The dashboard-only era is ending. That's why we built Agent Native Analytics.
A chatbot that generates a plausible chart and forgets it when the tab closes isn’t AI analytics. It’s a demo.
The future is durable work shared by agents and humans.
Vishwas retweeted
GPT-6 Sol is Coming This week
GPT-6 Sol Will be released On Thursday
This Week will be a Big Week
Readers added context they thought people might want to know
The post from the unofficial @Codexresets_ account falsely claims an imminent GPT-6 Sol release this week. OpenAI has announced no such model; its current flagship is GPT-6 Astra (launched Sept 3) while Sol is part of the earlier GPT-5.6 family (launched July).
openai.com/index/gpt-6-as…
openai.com/index/gpt-5-6/
x.com/openai/status/…
Vishwas retweeted
Introducing shadcn/lint. An agent-first linter for Tailwind design systems.
You define what’s allowed. When an agent breaks a rule, the error explains what’s wrong and how to fix it using your components, variants and theme.
There’s a lot you can do with this. Let me show you ↓
github.com/shadcn-ui/lint
Vishwas retweeted
Little side project that will open source shortly! built on top of the AgentNative framework, by @Steve8708
go check it out, and get an invite 👇
trymarisco.com/?v=2
Vishwas retweeted
Riggsfield grabbed ALL the spots on @marclou's body
watch what happened next 👀
I'm selling my body.
On September 19th, I'm competing in my first HYROX race in Turkey.
You can advertise your startup on 10 of my muscles:
- Your website is listed on hyrox.marclou.com
- Your logo will be tattooed on my body on race day
- I'll share it on my YouTube and X accounts
Bidding starts at $1,000.
Each takeover doubles the price: $1,000 → $2,000 → $4,000.
If outbid, you’re refunded minus the Stripe fee.
Bidding closes on Thursday the 10th at midnight UTC (in 2 days), so I have enough time to print the winning tattoos.
→ Sponsor my body: hyrox.marclou.com
