Aurélien Declerck

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Aurélien Declerck

Aurélien Declerck

@decaurel76

Dev web, Arduino, Raspberry Pi, electronique - Passionné d'espace, de sciences, d'histoire et de sports - #Fécamp

Fécamp - Normandie Katılım Nisan 2014
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Aurélien Declerck
Aurélien Declerck@decaurel76·
Voici mon drapeau. Il symbolise l'unité, la liberté, la paix, la démocratie, l'égalité, la civilisation, la diversité, l'état de droit, la science, la beauté et la force. Il n'y a rien de plus important à défendre. #Europe ❤️
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Milos Makes Maps
Milos Makes Maps@milosmakesmaps·
Python can now create high-quality 3D maps in a few seconds. Link in the comments 👇
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Skilled Coder
Skilled Coder@theskilledcoder·
NoSQL Database Types
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RossRadio
RossRadio@cqcqcqdx·
Types of SSDs Not all SSDs are the same:
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Shraddha Bharuka
Shraddha Bharuka@BharukaShraddha·
SQL Joins Explained ✅ Bookmark for later 🔖
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Mashford Mahute
Mashford Mahute@MashfordMahute·
12 FREE GOOGLE EARTH ENGINE TUTORIALS FOR AGRICULTURE 🪡🧵
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Giuliano Liguori
Giuliano Liguori@ingliguori·
8 specialized AI model types 👇 LLM → text generation LCM → semantic reasoning LAM → action-oriented agents MoE → expert routing VLM → vision + language SLM → lightweight edge models MLM → masked token learning SAM → image segmentation AI is moving from “one big model” to specialized architectures. #AI #LLM #MoE #VLM #MachineLearning
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Python Programming
Python Programming@PythonPr·
How to build AI agents from scratch
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Simplifying AI
Simplifying AI@simplifyinAI·
You can now give Claude Code a visual map of your entire codebase 🤯 Someone just open-sourced a tool that builds a local graph of your entire project so Claude instantly knows how every file is wired together. - Runs 100% locally on your machine. - Maps out your entire repository structure automatically. - Gives Claude Code the exact context it needs to build without hallucinating. 100% open source.
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Python Programming
Python Programming@PythonPr·
Looking at the Python ecosystem will help you understand why Python dominates the tech world 😅
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Vivo
Vivo@vivoplt·
1. Gemini - solve any problem 2. Perplexity - research anything 3. Klingai - create AI videos 4. Luma - create 3D models 5. Suno - compose music 6. Hemingwayapp - perfect writing 7. Capcut - edit videos 8. Youlearn - summarize YouTube 9. Canva - design graphics 10. ElevenLabs - clone voices 11. Descript - edit podcasts Save this.
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Kshitij Mishra | AI & Tech
Kshitij Mishra | AI & Tech@DAIEvolutionHub·
Someone put free TV channels from around the world into a single playlist. Just load the M3U file into VLC or an IPTV player and watch. Open-source. Continuously updated. github.com/Free-TV/IPTV/
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Ihtesham Ali
Ihtesham Ali@ihtesham2005·
🚨 RIP Chrome for AI agents. Someone built a headless browser from scratch that runs 11x faster and uses 9x less memory. It's called Lightpanda. Every AI agent doing web automation right now is running Chrome under the hood. That means you're spinning up a massive desktop application, stripping out the UI, and running hundreds of instances of it on a server. For something that never needs to render a single pixel. It's like renting a semi-truck to deliver a letter. Lightpanda is built differently. Not a fork of Chromium, Blink, or WebKit. Written from scratch in Zig with one goal: headless performance, nothing else. It still runs JavaScript. Still handles Ajax, XHR, Fetch, SPAs, infinite scroll, all of it. Just without dragging along 500MB of browser bloat you'll never use. And it drops straight into your existing stack: → Compatible with Playwright, Puppeteer, and chromedp via CDP → One-line Docker install → CDP server on port 9222, swap it in for Chrome in 30 seconds The use cases are obvious: AI web agents, LLM training data scraping, browser automation at scale, testing pipelines. Anything where you're paying for Chrome compute and cringing at the bill. It's still in beta and Web API coverage is growing. But at 11.8K stars it's clearly hitting a real nerve. 100% Opensource. AGPL-3.0. Link in comments.
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Supersocks
Supersocks@iamsupersocks·
Le mec qui a créé Claude Code (@bcherny) vient de montrer comment son équipe dresse l’IA. Un fichier. CLAUDE.md. Tu le poses à la racine de ton projet. Dedans : les erreurs passées, les conventions, les règles. Claude le lit à chaque session. Résultat : l’agent s’améliore sans que tu retouches une ligne de code. Chaque bug corrigé devient une règle permanente. Boris Cherny utilise ça tous les jours chez Anthropic. Je vous mets son template ici. Prêt à copier/coller et à adapter à votre guise : ### 1. Plan Mode Default - Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions) - If something goes sideways, STOP and re-plan immediately — don't keep pushing - Use plan mode for verification steps, not just building - Write detailed specs upfront to reduce ambiguity ### 2. Subagent Strategy - Use subagents liberally to keep main context window clean - Offload research, exploration, and parallel analysis to subagents - For complex problems, throw more compute at it via subagents - One task per subagent for focused execution ### 3. Self-Improvement Loop - After ANY correction from the user: update `tasks/lessons. md` with the pattern - Write rules for yourself that prevent the same mistake - Ruthlessly iterate on these lessons until mistake rate drops - Review lessons at session start for relevant project ### 4. Verification Before Done - Never mark a task complete without proving it works - Diff behavior between main and your changes when relevant - Ask yourself: "Would a staff engineer approve this?" - Run tests, check logs, demonstrate correctness ### 5. Demand Elegance (Balanced) - For non-trivial changes: pause and ask "is there a more elegant way?" - If a fix feels hacky: "Knowing everything I know now, implement the elegant solution" - Skip this for simple, obvious fixes — don't over-engineer - Challenge your own work before presenting it ### 6. Autonomous Bug Fixing - When given a bug report: just fix it. Don't ask for hand-holding - Point at logs, errors, failing tests — then resolve them - Zero context switching required from the user - Go fix failing CI tests without being told how ## Task Management 1. **Plan First**: Write plan to `tasks/todo.md` with checkable items 2. **Verify Plan**: Check in before starting implementation 3. **Track Progress**: Mark items complete as you go 4. **Explain Changes**: High-level summary at each step 5. **Document Results**: Add review section to `tasks/todo. md` 6. **Capture Lessons**: Update `tasks/lessons. md` after corrections ## Core Principles - **Simplicity First**: Make every change as simple as possible. Impact minimal code. - **No Laziness**: Find root causes. No temporary fixes. Senior developer standards.
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ardusimple
ardusimple@ardusimple·
Are you visiting @embeddedworld today? Take a chance to win any ArduSimple product with a u-blox module inside! To participate, find the ArduSimple team at the u-blox stand (Hall 3, Booth 3-319).
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ardusimple
ardusimple@ardusimple·
Meet first dual antenna GPS RTK board from u-blox: ZED-X20D for centimeter precision and high precision heading! Preorder Now – Shipping on April 20! ardusimple.com/meet-the-new-u…
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freeCodeCamp.org
freeCodeCamp.org@freeCodeCamp·
You can build your own 3D games that run right in the browser - and this course teaches you how. You'll learn how to use Three.js and Blender to build an interactive 3D portfolio site. You'll also learn about modeling, object interactions, how to get the camera to follow the player, and lots more. freecodecamp.org/news/creative-…
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