
Florent Pergoud
795 posts

Florent Pergoud
@FlorentPergoud
Tech, plants and video
Paris, France Katılım Haziran 2012
196 Takip Edilen382 Takipçiler
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New @Remotion template !
« What if a small company want to promote its services ? »
Find it on my playground exportas.video/editor/playgro…
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My dear front-end developers (and anyone who’s interested in the future of interfaces):
I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow
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Aaaaand.. new model releases continue🚀
Xenova@xenovacom
NEW: LiquidAI just released LFM2.5-350M, a tiny model that brings agentic AI and tool-calling capabilities to resource-constrained environments. 🤯 It can even run locally in your browser via WebGPU, serving as a powerful companion while you browse the web. Try the demo! 👇
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Florent Pergoud retweetledi

Anyone going to @ReactParis next week ?
#schedule" target="_blank" rel="nofollow noopener">react.paris/#schedule
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@JNYBGR That's dope! Vercel is waaaaay simpler to use than AWS, need to test it this weekend!
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This is the easiest way to setup SSR for Remotion!
Remotion@Remotion
You can now render videos on @Vercel! Let's ship a video generator app with AI:
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@mattpocockuk About the Execution phase, in the context of Front-end implementation, I don't really see how we can use an automated agent loop, including the Kanban task and the Figma design with self-validation for the agent
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Build your own Prompt-to-Motion-Graphics SaaS!
Alex Schwad@AlexSchwad
Building a Lovable for... Motion Graphics? Totally doable with @Remotion and the current generation of AI models, but still hard to get right. That's why @JNYBGR and I created an open-source starter kit to get you started building your own product around Remotion and AI✨
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Florent Pergoud retweetledi
Florent Pergoud retweetledi
Florent Pergoud retweetledi
Florent Pergoud retweetledi

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.
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Florent Pergoud retweetledi







