Ladie Web3 🧩

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Ladie Web3 🧩

Ladie Web3 🧩

@theladieweb3

Vyper 🐍 | Python | Smart Contract | Langchain | Langgraph (Genarative AI x Blockchain)

Somewhereinblueworld Katılım Eylül 2021
396 Takip Edilen144 Takipçiler
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Cyfrin Updraft 🟩
Cyfrin Updraft 🟩@CyfrinUpdraft·
Most devs think calling `mint` on Uniswap V3 is a single step. It's actually a chain of contract calls with a callback pattern that trips people up. 🧵
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Patrick Collins
Patrick Collins@PatrickAlphaC·
@theladieweb3 I recommend logging before making external calls, that's all! For a long time, people would just always emit logs at the end... This is incorrect.
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Ladie Web3 🧩
Ladie Web3 🧩@theladieweb3·
Hey @PatrickAlphaC, in your DSCEngine course you place the log event after Effects but before the external call. Is this an intentional style choice, or do you recommend always logging after confirming the interaction succeeded? Curious about your take on strict CEI vs log placem
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B.O.D
B.O.D@BestofDem_szn·
Even if your battery is at 1%, repost and drop a heart ❤️ for these kids.
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Vitto Rivabella
Vitto Rivabella@VittoStack·
It’s difficult to find a job as a smart contract developer as of now, I’d argue is even more difficult to find one as a Vyper developer. Regarding “is it a waste of time” - that depends on what you’re looking for, if it’s about finding a job quick: - search for jobs you’d like to apply to - list the necessary skills - learn those skills specifically - apply If Vyper is among those skills, you have your answer. Otherwise you can always learn Vyper once you’ve got the job. Learning Vyper per se isn’t a waste of time.
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𝑝𝑢𝑟𝑒
𝑝𝑢𝑟𝑒@purelivn·
need
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Ọládélé 🇳🇬👑
Ọládélé 🇳🇬👑@Theoladeledada·
Jesus christtttttttttttttttttt!!! Stop whatever you are doing and watch this @claudeai got a huge update today & I'm flattered. As of now, Claude Opus 4.6 can build mobile apps and prepare shipping them on the Apple + Google app stores.
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Siddhant
Siddhant@Siddcodes1·
full stack developer in 2026 be like
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Krishna Agrawal
Krishna Agrawal@Krishnasagrawal·
Stop wasting hours trying to learn AI. 📘📚 I have already done it for you. With one list. Zero confusion. And no fluff 📹 Videos: 1. LLM Introduction: lnkd.in/dMqbaZdK 2. LLMs from Scratch: lnkd.in/dYYwEhYy 3. Agentic AI Overview (Stanford): lnkd.in/dArmMt2i 4. Building and Evaluating Agents: lnkd.in/dBWd2W8u 5. Building Effective Agents: lnkd.in/dHfdebqw 6. Building Agents with MCP: lnkd.in/dXuNHrRJ 7. Building an Agent from Scratch: lnkd.in/da3ANw3w 8. Philo Agents: lnkd.in/dq-BfZE5 🗂️ Repos 1. GenAI Agents: lnkd.in/d3UDtwwv 2. Microsoft's AI Agents for Beginners: lnkd.in/dHvTmJnv 3. Prompt Engineering Guide: lnkd.in/gJjGbxQr 4. Hands-On Large Language Models: lnkd.in/dxaVF86w 5. AI Agents for Beginners: lnkd.in/dHvTmJnv 6. GenAI Agentshttps://lnkd.in/dEt72MEy 7. Made with ML: lnkd.in/d2dMACMj 8. Hands-On AI Engineering:lnkd.in/dgQtRyk7 9. Awesome Generative AI Guide: lnkd.in/dJ8gxp3a 10. Designing Machine Learning Systems: lnkd.in/dEx8sQJK 11. Machine Learning for Beginners from Microsoft: lnkd.in/dBj3BAEY 12. LLM Course: lnkd.in/diZgGACG 🗺️ Guides 1. Google's Agent Whitepaper: lnkd.in/gFvCfbSN 2. Google's Agent Companion: lnkd.in/gfmCrgAH 3. Building Effective Agents by Anthropic: lnkd.in/gRWKANS4. 4. Claude Code Best Agentic Coding practices: lnkd.in/gs99zyCf 5. OpenAI's Practical Guide to Building Agents: lnkd.in/guRfXsFK 📚Books: 1. Understanding Deep Learning: lnkd.in/dgcB68Qt 2. Building an LLM from Scratch: lnkd.in/g2YGbnWS 3. The LLM Engineering Handbook: lnkd.in/gWUT2EXe 4. AI Agents: The Definitive Guide - Nicole Koenigstein: lnkd.in/dJ9wFNMD 5. Building Applications with AI Agents - Michael Albada: lnkd.in/dSs8srk5 6. AI Agents with MCP - Kyle Stratis: lnkd.in/dR22bEiZ 7. AI Engineering: lnkd.in/gi-mQcXa 📜 Papers 1. ReAct: lnkd.in/gRBH3ZRq 2. Generative Agents: lnkd.in/gsDCUsWm. 3. Toolformer: lnkd.in/gyzrege6 4. Chain-of-Thought Prompting: lnkd.in/gaK5CXzD. 🧑🏫 Courses: 1. HuggingFace's Agent Course: lnkd.in/gmTftTXV 2. MCP with Anthropic: lnkd.in/geffcwdq 3. Building Vector Databases with Pinecone: lnkd.in/gCS4sd7Y 4. Vector Databases from Embeddings to Apps: lnkd.in/gm9HR6_2 5. Agent Memory: lnkd.in/gNFpC542 Repost for your network ♻️ &follow for more stuff on building AI Agents.
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Guillaume Champeau
Guillaume Champeau@gchampeau·
Ultra impressionné par le modèle Ministral3 de @MistralAI. Regardez, ça tourne en local sur mon PC, et ça ne prend que 3 Go de RAM. La vitesse de réponse est folle et la qualité est au rdv !
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Prasenjit
Prasenjit@Star_Knight12·
full stack developer in 2025 be like
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