🥑 Developer Advocate @GoogleCloud 🧠 Focusing on GenAI 🤖 ⭐️ @ApacheGroovy co-founder 🏆 @java_champions 📣 @lescastcodeurs podcast 🦋 @glaforge.dev
Paris, France
Joined April 2008
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Before heading on vacation, I built an unofficial @Java SDK for #Google @antigravity 🚀
If you want to embed AI agents directly into enterprise Java applications, #GitHub Actions, or custom #CLI tools, here is how it works and what you can do with it 🧵 👇
Guillaume Laforge retweeted
A friendly reminder that #Java #HelloWorld looks like this since Java 24:
void main() {
println("Hello World");
}
No, it is not "public static void main..." anymore. 🫶
Guillaume Laforge retweeted
Today, we're bringing OpenAI models to Google Cloud's model garden.
We're now the only hyperscale cloud provider offering access to all three leading closed source LLMs—alongside 200+ other models—on a unified enterprise platform → goo.gle/4zJ0VZQ
Fellow #java developers you are likely affected by the #eMudhras CA compromise.
Let's fix your @java and @graalvm installations and apps:
glaforge.dev/posts/2026/10/2…
Guillaume Laforge retweeted
This is my new favorite thing I've built with Argon: an iced coffee simulator, *completely* from scratch. No physics engine, fluid libraries or pre-baked animations, only three.js, WebGL2 math and custom 3D models - all running in Chrome 🤯
Approach, prompt & thoughts below! 🧵
Guillaume Laforge retweeted
🤿 I did my first deep-dive at a conference.
🎙️ Speaking for 3 hours is a challenging exercise, especially when doing almost everything live.
🙏 Thanks @Devoxx for the amazing organization.
🧵
Guillaume Laforge retweeted
The easiest way to try Gemini 4 Argon in an agentic environment is Gemini Managed Agents. A single API call gets you
- Python, Node.js, Git, and Bash.
- Full network access and control.
- Dedicate Credentials API.
- Filesystem to persist work.
- Background Support.
aistudio.google.com/docs/ant…
Guillaume Laforge retweeted
Not enough people know about Managed Agents 😀
In a single API call you get the Antigravity harness running in a cloud sandbox where it can write code, search the web, connect to MCP servers etc.
Build them into your products or teach an agent to do your repetitive daily tasks.
Guillaume Laforge retweeted
Google's Ambient quality agent runs 24/7 in LOOP to monitor and fix AI agents in production.
It reads live traces.
Catches silent failures.
Points to the exact line of code to fix.
And it's 100% open-source.
GitHub: github.com/google/adk-recipe…
Guillaume Laforge retweeted
Last week I deleted a custom SQLite RAG pipeline and replaced it with three Markdown files.
In the first Python version of AIDA (my OS diagnostic agent), I used a local SQLite RAG database to look up osquery table schemas. The data was small and static, so each chunk held a full table, but the setup was cumbersome and Gemini 2.5 Flash often made suboptimal RAG queries, pulling the wrong tables or missing related ones completely.
When I rebuilt AIDA in Go with Genkit, I replaced the RAG stack with Agent Skills middleware (`darwin`, `linux`, `windows`). Now the agent loads the OS schema catalog on demand without relying on vector search queries.
I also timed single-agent vs. multi-agent delegation on the exact same prompt ("what is my battery status?") with Gemini 3.8 Flash:
• Single-agent: 9.56s (3 LLM calls)
• Multi-agent (Coordinator + Inspector + Researcher): 17.02s (5 LLM calls)
Per-call latency stayed flat (~3.3s). The extra 7.5s is pure coordination overhead.
Full write-up and code:
danicat.dev/posts/building-a…
ALT Why I Rebuilt My Python RAG Agent in Go with Genkit
Guillaume Laforge retweeted
Gemini 4 Argon Developer Guide 🧑💻
Here are a few tips when using Argon:
🎯 - Align on goals & intent upfront
🧪 - Give it a way to verify & test its work
🤖 - Have Argon delegate to Flash subagents
🔄 - Update rules & skills
Read the full guide 👇
aistudio.google.com/learn/ge…
Guillaume Laforge retweeted
How do MCP, ADK, and A2A fit together in practice? 🤔
Join me this Wednesday (Oct 21, 12pm BST / 1pm CEST) for a hands-on Google Cloud Build Hour workshop:
🔧 MCP server on Cloud Run
🤖 Agent logic with ADK
🤝 Interop via A2A
Free RSVP 👇 gdg.community.dev/events/det…
Guillaume Laforge retweeted
Creating and seamlessly deploying full-stack web apps in Google AI Studio has taken a massive leap forward—now powered end-to-end by Gemini 4 Argon (gemini-4-argon) and the Antigravity agent harness.
You can go from a single prompt, rough sketch, or repo import to a live production web app on Cloud Run in minutes. Here’s what changed under the hood
🧵 (1/6)
Guillaume Laforge retweeted
A few workflow tips if you're using Gemini 4 Argon in Antigravity CLI:
1. Right-size reasoning effort (/effort)
Argon thinks deeply—which is great for architecture & gnarly bugs, but overkill for mechanical edits. Keep it on medium by default, bump to high when planning/debugging, and drop to low for quick refactors.
2. One-shot model consults (/model )
You don't need to stay on your heaviest model all session. Run a single prompt on Argon to diagnose a tricky bug or review a design, then automatically drop back to your faster default model.
3. Delegate to subagents & follow up with @
Offload repo exploration or test writing to subagents (coder / tester / reviewer) so your main Argon thread stays focused—type @ to message a subagent directly, or press Ctrl+K when a subagent surfaces a question (new in v1.3.6).
4. Side questions without polluting context (/btw)
Need a quick syntax check mid-task? /btw answers in a side overlay without adding a single token to your main trajectory.
5. Inspect changes in-terminal (/diff)
v1.3.5–1.3.6 adds a file tree, change stats, commit-message copy, and a highlighted commit tree view right in /diff.
Guillaume Laforge retweeted
Pele is a fast, beautiful, open source renderer for Mermaid diagrams we created for the next version of Obsidian.
You can already try it in the Pele playground and integrate it into your own apps.
This is Pele, my new rendering library for diagrams and charts, compatible with the latest Mermaid syntax.
- 100-500× faster than mermaid.js
- 6× smaller bundle
- No dependencies
- Easy to theme
- Responsive to device width
In pursuit of making Obsidian insanely fast and cohesively designed, I always found the Mermaid library to be too big, too slow, and too hard to theme. Pele will be the new renderer in the next version of Obsidian, but you can start using it now.
Pele [ˈpɛlɛ] is named after the goddess of volcanoes and fire. It's open source under the MIT license. Try the playground!
Guillaume Laforge retweeted
Four Gemini 4 Argon agents, one shared Minecraft world, one goal: defeat the Ender Dragon. 27 hours and 2,783 self-written programs later, the dragon fell.
Guillaume Laforge retweeted
Markdown in Google Drive and Docs is even better than expected:
- Real-time collaboration in the editor!
- Create a new .md file from the main "Create" button
This is my new default
Guillaume Laforge retweeted
Ever wanted to explore Paris, its monuments, history, and visualise its metro system? With Gemini 4 Argon that was possible ✨ learn how I did it: tomgreenaway.com/blog/eiffel…
Software, Selfware, and now #Dynamicware!
I jotted down some thoughts on how AI is changing software we use/build... That it's becoming ephemeral, remixable, and adaptive tools we create for ourselves or share with others 🛠️ tomgreenaway.com/blog/dynami… I threw in a prediction that games being art might be different 🕹️
Guillaume Laforge retweeted
We’re rolling out Gemini 4 Argon in Antigravity to paid Google AI Pro subscribers today. Demand has been incredible and we've scaled capacity deliberately to get here. We’ve rolled out a separate weekly-only Argon quota for Pro on top of the existing Gemini bucket for 3.8 Flash so you have the best of Gemini for all your tasks.