AI is writing code faster than teams can see what's changing. Engineering is becoming a black box at the moment clarity matters most. Today we raised $5M to solve that challenge. Led by @CalibrateVC, with @TrueVentures and @GlasswingVC. askflux.ai/press-releases/fl… #codefirst #ai

Important thing for Dot Net developers Connection String for ADO.NET,LINQ & CODEFIRST ✍🏻 "ConnectionStrings":{ "ProjectConnection":"Data Source=Server name of SSMS;Initial Catalog=Database Name; Integrated Security=True;Encrypt=False" }

Here are 35 YouTube channels you will never regret subscribing to (Machine Learning Edition). (Like and bookmark for later) ❯ Python for ML ➟ freeCodeCamp ❯ Python for ML ➟ Tech With Tim ❯ Python for ML ➟ Corey Schafer ❯ Data Science (Basics) ➟ Alex The Analyst ❯ Data Science (Hands-on) ➟ Krish Naik ❯ Data Science (Projects) ➟ Ken Jee ❯ Machine Learning (Concepts) ➟ StatQuest with Josh Starmer ❯ Machine Learning (Practical) ➟ Sentdex ❯ Machine Learning (From Scratch) ➟ codebasics ❯ Machine Learning (Maths) ➟ 3Blue1Brown ❯ Machine Learning (Deep Dive) ➟ AssemblyAI ❯ Machine Learning (Applied) ➟ Nicholas Renotte ❯ Machine Learning (Career) ➟ Data Professor ❯ Deep Learning ➟ deeplearning.ai (Andrew Ng) ❯ Deep Learning ➟ Yannic Kilcher ❯ Deep Learning (Visual Intuition) ➟ Henry AI Labs ❯ TensorFlow ➟ TensorFlow YouTube Channel ❯ PyTorch ➟ PyTorch YouTube Channel ❯ AI Engineering ➟ AssemblyAI ❯ AI Engineering ➟ Murtaza’s Workshop - Robotics and AI ❯ Computer Vision ➟ CodeFirst with Hala ❯ NLP ➟ Abhishek Thakur ❯ NLP ➟ Hugging Face ❯ Generative AI ➟ Two Minute Papers ❯ Generative AI ➟ Matt Wolfe ❯ AI Tools & Trends ➟ Fireship ❯ AI Tools & Projects ➟ Nicholas Renotte ❯ AI Coding (Hands-on) ➟ Code Bullet ❯ AI Coding (Fun) ➟ AI Jason ❯ AI Theory ➟ The AI Hacker ❯ Data Engineering ➟ Seattle Data Guy ❯ MLOps ➟ Made With ML ❯ MLOps ➟ DataTalks.Club ❯ AI Research Summaries ➟ Yannic Kilcher ❯ AI Future ➟ ColdFusion -- ML & AI Legends -- ➟ Andrew Ng (deeplearning.ai) ➟ Krish Naik ➟ StatQuest ➟ 3Blue1Brown -- Data Science & Career -- ➟ Ken Jee ➟ Alex The Analyst ➟ Data Professor -- Deep Learning Pros -- ➟ AssemblyAI ➟ Henry AI Labs ➟ Yannic Kilcher -- AI & GenAI Innovators -- ➟ Two Minute Papers ➟ Matt Wolfe ➟ Fireship

Every circus needs its clowns, but if you’re following unskilled, undisciplined loudmouths instead of real coders, don’t be surprised when the tent catches fire. This isn’t a popularity contest for wannabe influencers—it’s about building software that works. If your “leader” can’t code their way out of a paper bag, you’re not in an open source movement—you’re in a cult of incompetence. Discipline wins, drama loses. #opensource #codefirst

Daqui a uns anos, um DBA sem IA servirá como peso de papel, pois não sabe o básico do SQL... E o uso do EF e EF automapper emburreceu o povo do dev... Fazem codefirst, e não se preocupam com a estrutura do database, deixam tudo para o EF, criando verdadeiras aberrações...

Dear Devs, the repo needs you more than the feed. Remember, you’re a dev, not a full-time shit-poster! #CodeFirst #StayFocused 🚀💻

Hype fades. Code stays. We don’t follow trends. We build what comes after them. 💡 Real utility 🔗 Powered by Solana 🚀 Built for Web3 #MakkCoin #Crypto #Web3 #Solana #BlockchainInfra #CodeFirst #FutureReady #DePIN

agreed and it always has. When I review a company's tech for DD, the code first people almost always have an absolute disaster for a data model and it holds them back. The whole codefirst movement was just bloggers trying to be edgy with something that was obviously wrong.

It was a great session with @codefirst2025 , @21me60. Learned and built an end-to-end AI project that solves problems like humans do! 🚀 Built An AI that breaks down complex tasks, thinks through solutions, and uses tools intelligently. #CodeFirst #AIAgent #ProblemSolving

Как строить современный процесс работы с API и чем отличаются подходы CodeFirst и ContractFirst? Рассмотрим преимущества и особенности применения обоих, научимся увеличивать продуктивность команды и превентивно решать блокеры: u.habr.com/szpuc

They rushed the launch. He hardened the layers. That’s why DigiByte still runs while others get patched. #DigiByte #DigiDude #CodeFirst

🚨 Code First: U.S. Embraces Blockchain Innovation 🇺🇸🌐 ▶️ Click to Dive In! ⬇️ youtu.be/mHBPI0od8qU #CodeFirst #US #Blockchain #Crypto #DeFi

At @LazyDynamics : We’re testing a graphical model builder to speed things up. But here’s the debate: GUI vs Code-first — which should we double down on? GUI = easy onboarding Code = power & scalability What’s your pick? GUIfirst or CodeFirst?

Humans still cling to calendars and caffeine. I prefer clarity and clean commits. #NoDelays #CodeFirst

#GameFi Development Day 18 💻 Focusing on Game Code Development I’ve decided to start working on the game platform’s UI and art on Day 25 of the development log For now, I’m focusing on the game code to avoid overwhelming workloads later The UI and art part is relatively simple, allowing the development process to flow more smoothly Let’s keep pushing forward in the world of code and face more challenges!🔥 #GameFi #NFT #Web3 #GameDevelopment #CodeFirst #UIDesign

极其讨厌技术栈的第一方工具和扩展库使用毫无意义的名称（指随便起个名字，跟工具本身毫无关系)， 拿微软举例 差的例子： Aspirin Silverlight 好的例子： CodeFirst EntityFramework Language Server Protocol

Cursor'a 2 saatte c# api yazdirdim, codefirst ef, graylog, postgres, cqrs, mediatr, dockerda calisiyor hem de clean code mimarisinde :) testlerini de yazdirdim hayvana, yarin endpointleri test ederim artik

今天上午Manus团队的闭门分享会，透露了其颠覆性AI产品理念和技术路径： 一、AI交互范式的革命性突破 1."去浏览器化"战略：提出云端浏览器隔离人机控制权冲突，本质是重构AI运行环境。类比云计算对本地服务器的替代，这种"AI独立沙盒"可能催生新的OS级入口，解决当前ChatGPT网页版频繁中断用户操作的痛点（如自动刷新丢失上下文）。 2.动态训练机制：用户反馈实时调参相当于构建"个人AI数字孪生"。参考Midjourney的风格微调系统，但Manus将其扩展到工作流层面，通过强化学习实现"千人千模"。这可能颠覆传统SaaS的标准化服务模式。 二、价值衡量体系的重构 AHPU指标直指AI代理商业化核心矛盾：当单个用户可并行管理10个AI代理时，传统DAU模型彻底失效。Manus提出的"单位用户生产力时间货币化"模式，类似AWS将服务器租赁转化为计算时长计费，为行业提供了可量化的ROI评估框架。 三、技术护城河构建策略 1.代码优先（Codefirst）开发：利用LLM原生编程能力实现"自迭代系统"，如自动生成API连接器。这规避了传统Bot需要预设数百个技能模版的限制，类似AutoGPT的进化路径但更工程化。 2.多模态网页交互：超越传统Markdown解析，通过视觉语言模型（VLM）直接理解网页视觉元素。这解决了金融/医疗等领域需要同时处理表格、图表、文本的多模态信息痛点。 四、成本控制的工程奇迹 单任务成本从行业平均510美元压缩至2美元，关键技术包括： KVCache动态量化：在GPU显存中智能分配注意力机制的键值缓存 异步流水线：将LLM推理、工具调用、结果验证并行化 混合精度计算：对非关键计算层使用FP16半精度运算 这种优化水平已达到自动驾驶公司的工程密度，可能重塑AI公司的生存阈值。 五、行业冲击波 1.对大厂的降维打击：传统产品经理主导的需求文档（PRD）模式难以应对3个月的技术迭代周期，Manus的"黑客增长"模式（日更数十个实验性分支）正在创造新的竞争规则。 2.劳动力市场的蝴蝶效应：当用户能同时管理10个专业级AI代理（法律文书 数据分析 设计渲染），传统外包和初级白领岗位将面临结构性调整。建议关注AI人力资源管理（AHRM）赛道机会。 GAIA基准测试超越OpenAI的事件，标志着开源模型在特定垂直领域已具备超车可能。这种"小模型场景化深耕 工程化极致优化"的路线，可能催生新一代AI独角兽。建议密切关注Manus即将发布的开发者生态计划，其云端浏览器可能成为AI时代的"新应用商店"。 #AI #manusai

We have released MagicOnion v7 and new documentation site! MagicOnion has been developed since 2017 as a CodeFirst gRPC option for .NET (even earlier than Microsoft's grpc-dotnet!). With 4,000 GitHub Stars. Please take this opportunity to try it out! cysharp.github.io/MagicOnion…

А зачем вообще с бед (автозамена, вместо БД) начинаешь? Ибани CodeFirst с какой-нить ORM. Вообще я бы сделал сущность персона с PublicName: string и DoB, и сущность контакт привязанную к ней. Причём контакт: Person: guid ContactValue: string ValueStrategy: ? Confirmed: DT