Human cognitive friction has long been acting as a regularizer for a lot of digital infrastructure. It made software APIs less terrible and codebases less complex. Now LLM disintermediation is causing this effect to fade, which in turn will cause runaway software complexity.
CODE
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Claude Code: Anthropic’s AI Programming Tool Launch
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That's Claud Code, I'm taking about http://
claude.ai -

AI Engineering: Building Applications with Foundation Models
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AI Engineering — Building Applications with Foundation Models: http://
amzn.to/4aiSv1O by @chipro —
#ML #MachineLearning #DataScience #DataScientist
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𝓣𝓸𝓹𝓲𝓬𝓼:
Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the -

Concrete Mathematics: Essential Foundation for Computer Science
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Concrete [CONtinuous and disCRETE] Mathematics — A Foundation for Computer Science (and for serious users of mathematics in virtually every discipline): http://
amzn.to/4oGfeJn [672 pages] Topics covered: Evaluating Horrendous Sums Recurrences Integer functions -

Mathematics of Machine Learning Book Review and Guide
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Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
GitHub: http://
github.com/cosmic-cortex/
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Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This -

Context Engineering for Multi-Agent Systems: Building Transparent Reasoning Architectures
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at http://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Develop memory models to retain short-term and -

Building Business-Ready Generative AI Systems with Agents
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"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and -

Mastering AI System Design: 10 Domain Driven Blueprints
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"Mastering AI System Design: Architect, Build and Deploy AI Systems Using 10 Domain Driven Blueprints and Interview Strategies" available at http://
amzn.to/3NFNOWF 𝙏𝙖𝙗𝙡𝙚 𝙤𝙛 𝘾𝙤𝙣𝙩𝙚𝙣𝙩𝙨:
1. Introduction to AI System Design
2. Crafting Intelligent Systems Using Prompt -

Graph Machine Learning Advancements with PyTorch Geometric Techniques
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Graph Machine Learning — Latest advancements in Graph Data to build robust Machine Learning algorithms (2nd Edition) — at http://
amzn.to/45Y3LyI v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Master new graph ML techniques through updated examples using PyTorch Geometric and Deep -

Learn MCP with TypeScript: Build Agentic Systems
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"Learn Model Context Protocol [MCP] with TypeScript: Build Agentic Systems in TypeScript with the new standard for AI capabilities" at http://
amzn.to/48W6Izu by @chris_noring TypeScript explained — what is it; why and when to use it: https://
contentful.com/blog/what-is-t
ypescript-and-why-should-you-use-it/
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