@bcomnes Node native TS support works well for many cases. The tsgo angle is more about going beyond type stripping: 100% TS support, faster opt-in type checks, tsconfig/project graph support
pro tip: give your coding agent access to a browser and tell it to "use the window.figma global that mirrors the plugin api." it now can automate basically anything in figma.
there is an entire design team that bought Do Browser just for this.
Now it’s official.
JetBrains remains the last big independent player in developer tooling.
Our job is to deliver the most cost-efficient, deeply integrated, and genuinely enjoyable AI experience across our IDEs and beyond.
We’re on it. Stay tuned.
⭐ VibeThinker-3B is released — a dense 3B model for frontier-level verifiable reasoning.
🚀 Reasoning: 94.3 on AIME’26, 76.4 on IMO-AnsBench, and 80.2 Pass@1 on LCB v6; with CLR, AIME‘26 improves to 97.1 and IMO-AnsBench to 80.6.
💻 OOD Coding: On recent unseen LeetCode weekly contests, VibeThinker-3B passes 123/128 (96.1%) first-attempt Python submissions.
⚡ Efficiency: Only 3B parameters, yet reaching the performance range of much larger top-tier reasoning models.
🧠 Perspective: Small models are not just cheaper substitutes. In parameter-dense domains with clear verification signals, SLMs offer a path to frontier-level reasoning that complements traditional Scaling Law.
Model : https://t.co/94A14zpqCV
Github: https://t.co/32so5P6C7L
Paper: https://t.co/UDd264RsZb
#AI #LLM #Reasoning #OpenSource #SmallModel
Did you know Tailwind CSS officially provides a loader for webpack, Rspack, and Turbopack?
No more PostCSS. Up to 30% faster.
Rsbuild now ships a new plugin that integrates the loader out of the box:
OPENAI 🔥: Codex now supports Chrome DevTools Protocol for browser use. This is a huge superpower that will allow Codex to inspect and modify any website.
It is still a very early implementation, but I bet that in several years this will be a default browser capability. If websites are loaded through AI, users will be able to customize their UX on the fly.
This is the way 👀
I once talked to a Mistral researcher who told me that even internally everyone just uses Claude Code or Codex.
I asked him how does the company survive given that it's models are so far from the frontier and he told me that Mistral hovers up contracts with all the major EU enterprises like Airbus and BMW. Likely with French government backing.
It is remarkable that the Germans and the English are letting the French get away with this. It seems both countries are too caught up with their own domestic issues.
If there were actual competition like in the Chinese ecosystem I imagine EU AI sovereignty might be somewhat of a realistic prospect.
FLUX.2 [klein] 4B running on-device on Mac via Apple's Core AI 🎨
Converted straight from Apple's official recipe — it runs unmodified on the stock CoreAIDiffusionPipeline. .
1024×1024 in ~17s · 4 steps.
Model: https://t.co/o6byyGvfPL
Sample app (SwiftUI):https://t.co/IxeNP69yVq
🚨 SHOCKING: LISA SU’S $1,499 LUNCHBOX ANNIHILATES NVIDIA’S $4K AI BEAST!
AMD CEO Lisa Su walked on stage, held a lunchbox sized PC in one hand, and ran a 235 billion parameter model live.
No data center. No cloud. No rented GPU.
The chip inside is the AMD Ryzen AI Max+ 395. It is the first x86 chip where the CPU and GPU share the same pool of memory. Up to 128GB of unified memory. That one design choice is what changes everything.
An RTX 5090 gives you 32GB of video memory. A 4090 gives you 24. This box gives you more than three times either of them in a chassis you can carry in a backpack.
On DeepSeek R1 inference, AMD's chip beat an Nvidia RTX 5080 by more than 3x. A desktop the size of a thick paperback outrunning a dedicated graphics card that costs over a thousand dollars on a real AI workload.
Now do the math on your subscriptions.
Claude Code Max is $200 a month. ChatGPT Pro is another $200. Cursor is $20. Gemini is $20. That is $5,280 leaving your account every year before you build a single thing.
The 128GB version of this machine starts at around $2,399. At that run rate it pays for itself in under a year and then runs free.
Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use. Nothing leaves your machine. Nothing costs per request. No throttling at 3am when you finally have time to build.
Lawyers stop worrying about what OpenAI does with their files. Developers stop watching the token counter. Founders stop killing prototypes because the cloud bill scared them off.
Private AI just became something a normal person can own.