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#softwarearchitecture

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Leanpub

AI Masterclass leanpub.com/set/leanpub/aimast by Henrik Kniberg, Obie Fernandez, and Andriy Burkov is the featured Track of online courses on the Leanpub homepage! leanpub.com

Each course includes tons of high-quality content from experts in their fields, including hours of exclusive video interviews.

LeanpubAI MasterclassAbout the Track: AI Masterclass Artificial Intelligence is reshaping the way we live, work, and build technology. The AI Masterclass Track brings together three powerful courses from world-class experts to give you a comprehensive, practical, and hands-on education in the age of AI. Whether you want to understand the big picture, apply AI patterns in real-world software, or dive deep into the mathematics and code behind large language models, this Track has you covered. Why take this Track? Together, these three courses form a complete journey through today’s AI landscape—from understanding generative AI at a strategic and practical level, to applying proven patterns in software development, to mastering the technical foundations of LLMs. You’ll gain not only knowledge but also exercises, quizzes, and code examples that ensure you can confidently apply what you’ve learned in your work. Don’t fall behind or just keep up with AI—master it. Courses Included Generative AI in a Nutshell - Henrik Kniberg A fast-paced, visual, and practical guide to the strange new world of Generative AI. With Henrik’s signature hand-drawn illustrations and down-to-earth explanations, you’ll explore what generative AI is, how it works, how to use it, and how to lead through this transformation—without drowning in jargon or hype. Patterns of Application Development Using AI - Obie Fernandez Learn pragmatic patterns and principles for integrating AI into real-world applications. Drawing from his experience building an AI-powered platform, Obie introduces practical design patterns like “Multitude of Workers” and “Self-Healing Data,” helping you unlock the power of AI in adaptive, user-centric systems. The Hundred-Page Language Models Course - Andriy Burkov A concise yet thorough guide to modern Large Language Models, blending math, illustrations, and hands-on coding. You’ll build your own models from scratch in Python, understand transformers, and explore instruction fine-tuning—all while benefiting from Andriy’s clear explanations and exclusive video content.
pgEdge Postgres

Need an open-source approach to deploying distributed on ? Paul Rothrock covers deploying 100% open source pgEdge extensions with using Helm here: youtube.com/watch?v=r442LvNxaoE

If you have questions, you're welcome to talk live with our engineers and ask questions during a (free) live demo next week, November 20 @ 1PM EST. Register anytime: us02web.zoom.us/webinar/regist

YouTubepgEdge + CloudNativePG = Big Improvements for Postgres on KubernetesBy pgEdge Enterprise Postgres
#programming#devops#dataengineering
Leanpub

AI Masterclass leanpub.com/set/leanpub/aimast by Henrik Kniberg, Obie Fernandez, and Andriy Burkov is the featured Track on the Leanpub homepage! leanpub.com

LeanpubAI MasterclassAbout the Track: AI Masterclass Artificial Intelligence is reshaping the way we live, work, and build technology. The AI Masterclass Track brings together three powerful courses from world-class experts to give you a comprehensive, practical, and hands-on education in the age of AI. Whether you want to understand the big picture, apply AI patterns in real-world software, or dive deep into the mathematics and code behind large language models, this Track has you covered. Why take this Track? Together, these three courses form a complete journey through today’s AI landscape—from understanding generative AI at a strategic and practical level, to applying proven patterns in software development, to mastering the technical foundations of LLMs. You’ll gain not only knowledge but also exercises, quizzes, and code examples that ensure you can confidently apply what you’ve learned in your work. Don’t fall behind or just keep up with AI—master it. Courses Included Generative AI in a Nutshell - Henrik Kniberg A fast-paced, visual, and practical guide to the strange new world of Generative AI. With Henrik’s signature hand-drawn illustrations and down-to-earth explanations, you’ll explore what generative AI is, how it works, how to use it, and how to lead through this transformation—without drowning in jargon or hype. Patterns of Application Development Using AI - Obie Fernandez Learn pragmatic patterns and principles for integrating AI into real-world applications. Drawing from his experience building an AI-powered platform, Obie introduces practical design patterns like “Multitude of Workers” and “Self-Healing Data,” helping you unlock the power of AI in adaptive, user-centric systems. The Hundred-Page Language Models Course - Andriy Burkov A concise yet thorough guide to modern Large Language Models, blending math, illustrations, and hands-on coding. You’ll build your own models from scratch in Python, understand transformers, and explore instruction fine-tuning—all while benefiting from Andriy’s clear explanations and exclusive video content.
Scott Galloway

MAN I can write a blog article with beautiful structure in record time but ask me to promote myself and my Britishness TORTURES ME.

How's thos everyone? Too braggadocious, not enough? Do I seem like I'm lying etc?

Open to new opportunities | Full-Stack Architect & Engineering Leader
After building 100+ systems across my career, I'm looking for my next challenge where I can deliver real impact.
What I bring:
Deep .NET Expertise – in since the beginning and keep bang up to date with all the latest developments .
Modern Architecture – Experience designing dual-mode content systems, implementing CQRS patterns, and building scalable microservices with Docker/containerization, messaging, *useful* AI, RAG etc...
Full-Stack Capabilities – Frontend: React, Vue, HTMX, Alpine.js, TailwindCSS | Backend: .NET, Node.js, PostgreSQL | DevOps: Docker, CI/CD, monitoring stacks
Complex Integrations – Built automated translation pipelines, analytics platforms, and third-party service integrations at scale
Technical Communication – Active technical blogger sharing deep-dives on architecture, implementation patterns, and best practices while releasing lots of nuget packages, Python NMT translation tools, npm packages etc:
lnkd.in/geGawFex
Ideal roles: Fractional CTO | Hands-On Architect | Technical Co-founder | Lead Engineer | Technical Startup Rescuer
Looking for teams that value pragmatic architecture, clean code, and engineering excellence.
Open to contract or permanent roles | Remote or hybrid

lnkd.inLinkedInThis link will take you to a page that’s not on LinkedIn
Virtual Domain-Driven Design

Do we still need software architects? We had a great community discussion on this topic, exploring expectations, anti-patterns, and where the role fits.

If you missed the session, you can rewatch the full debate on our website or listen to the podcast version.

virtualddd.com/sessions/do-we-

Virtual Domain-Driven DesignDo we need software architects?Do Software architects have a bad name? Why? What are your expectations, what anti-patterns you experience? What are you thankful for from your architects? Should you have a software architect in the team, or between the teams? Changing the world starts with thinking and sharing the reasons. We would like to discuss this conflict at our next meetup in this open discussion. Please reach out if you are a developer and you would like to participate in a constructive discussion. Until then: fire away, put your thoughts, stories, examples on this https://t.co/dMUUI4DH1S?amp=1 miro board Thank you!
InfoQ

Great platforms feel magical - they hide complexity behind an intuitive experience, operating so seamlessly that users never have to think about the underlying infrastructure.

In this article, Matthew Liste shares lessons from 20+ years of building mission-critical platforms: bit.ly/47TXEdW

Learn why you must relentlessly balance the "three Ss": Stability, Security & Scalability!

#PlatformEngineering#SRE#DevOps
Leanpub

AI Masterclass leanpub.com/set/leanpub/aimast by Henrik Kniberg, Obie Fernandez, and Andriy Burkov is the featured Track of online courses on the Leanpub homepage! leanpub.com

LeanpubAI MasterclassAbout the Track: AI Masterclass Artificial Intelligence is reshaping the way we live, work, and build technology. The AI Masterclass Track brings together three powerful courses from world-class experts to give you a comprehensive, practical, and hands-on education in the age of AI. Whether you want to understand the big picture, apply AI patterns in real-world software, or dive deep into the mathematics and code behind large language models, this Track has you covered. Why take this Track? Together, these three courses form a complete journey through today’s AI landscape—from understanding generative AI at a strategic and practical level, to applying proven patterns in software development, to mastering the technical foundations of LLMs. You’ll gain not only knowledge but also exercises, quizzes, and code examples that ensure you can confidently apply what you’ve learned in your work. Don’t fall behind or just keep up with AI—master it. Courses Included Generative AI in a Nutshell - Henrik Kniberg A fast-paced, visual, and practical guide to the strange new world of Generative AI. With Henrik’s signature hand-drawn illustrations and down-to-earth explanations, you’ll explore what generative AI is, how it works, how to use it, and how to lead through this transformation—without drowning in jargon or hype. Patterns of Application Development Using AI - Obie Fernandez Learn pragmatic patterns and principles for integrating AI into real-world applications. Drawing from his experience building an AI-powered platform, Obie introduces practical design patterns like “Multitude of Workers” and “Self-Healing Data,” helping you unlock the power of AI in adaptive, user-centric systems. The Hundred-Page Language Models Course - Andriy Burkov A concise yet thorough guide to modern Large Language Models, blending math, illustrations, and hands-on coding. You’ll build your own models from scratch in Python, understand transformers, and explore instruction fine-tuning—all while benefiting from Andriy’s clear explanations and exclusive video content.
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