In 2016 I launched Awesome React to curate YouTube tutorials.
Since then I keep coming back to the same idea: YouTube videos deserve their own home.
Today I'm launching yabby — a website builder for YouTube creators and podcasters.
I just launched a site curating the best building in public videos.
Got @starter_story, @marclou, @floriandarroman and @robj3d3 so far.
Who else is making high quality videos about building in public?
@sherifgjini I've just launched https://t.co/p9vofu1h1A. A website builder for YouTube creators and podcasters. Turns your channel into a beautiful website in minutes, with six themes, automatic syncing, and custom domains.
Usually I start Next.js projects from scratch, this time I picked and paid for a SaaS starter kit, even though I've been building for years.
Tried a bunch of Next.js starter kits.
Achromatic by @achromaticlabs was the one that felt really solid, had everything you need for a SaaS and matched my usual library picks.
The real magic is when you pair it with an AI agent like Claude Code. Building gets way faster and still keeps the quality up.
That's allowed me to build https://t.co/7mEIKIL8Rd much more quickly.
In 2016 I launched Awesome React to curate YouTube tutorials.
Since then I keep coming back to the same idea: YouTube videos deserve their own home.
Today I'm launching yabby — a website builder for YouTube creators and podcasters.
→ 6 themes (Default, Spotlight, Magazine, Showcase, Extreme Sport, Terminal)
→ Auto-syncs new uploads
→ Custom domain
→ Multi-channel sites
Set it up for free. Upgrade to publish.
Computer use is now in Claude Code.
Claude can open your apps, click through your UI, and test what it built, right from the CLI.
Now in research preview on Pro and Max plans.
It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.
Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.
As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.
It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.