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AI-native vs AI-bolted-on software architecture comparison for teams in 2026
Mar 21, 202641 min readAI

AI-Native vs AI-Bolted-On: Why Software Architecture Decides Who Wins (2026)

A CNBC analyst warned that AI-native companies will emerge while incumbents falter. The distinction between AI-native and AI-bolted-on architecture determines which software survives the 2026 disruption and which gets replaced. Here is the definitive framework.

History of Mermaid.js: Diagrams as Code
Mar 21, 202651 min readAI

History of Mermaid.js: Diagrams as Code, From a Lost Visio File to 85K GitHub Stars (2026)

The complete history of Mermaid.js — from a lost Visio file in 2014 to 85K GitHub stars, native GitHub support, $7.5M funding, and the AI-native beautiful-mermaid renderer. Every diagram type, live.

The Complete History of Computing: From Binary to AI Agents — a visual timeline from mechanical calculators to modern AI
Mar 20, 202677 min readAI

The Complete History of Computing: From Binary to AI Agents — How We Got Here (2026)

The complete history of computing from Babbage's Difference Engine to AI agents and living software. Binary, transistors, CPUs, operating systems, the internet, and the AI revolution — every milestone that brought us here. Updated May 2026.

The BFF Experiment: From Noise to Life in the Age of AI Agents
Mar 20, 202653 min readAI

The BFF Experiment: From Noise to Life in the Age of AI Agents (2026)

A deep dive into Blaise Aguera y Arcas's BFF experiment, where self-replicating programs emerged from random noise through symbiogenesis — not mutation. The definitive guide to what BrainFuck, Freedom, and Friends reveals about life, intelligence, and the future of AI agents. Updated March 2026.

What Are AI Claws? Persistent autonomous agents that loop independently with sophisticated memory
Mar 20, 202645 min readAI

What Are AI Claws? Persistent Autonomous Agents Explained (2026)

AI claws are persistent autonomous agents that loop independently with sophisticated memory and real-world tool access. Coined by Andrej Karpathy, claws represent the next layer above agents. Learn how they work, see Karpathy's Dobby smart home claw in action, and build your own with Taskade Genesis.

They Generate Code. We Generate Runtime — The Taskade Genesis Manifesto
Mar 19, 202655 min readAI

They Generate Code. We Generate Runtime — The Taskade Genesis Manifesto (2026)

Code generators give you files. Taskade Genesis gives you living runtime — deployed apps with embedded agents, automations, persistent memory, and Workspace DNA. 150,000+ apps built and counting. This is a manifesto for the post-code era.

Taskade Genesis community profiles with public pages, AI thinking modes, and multi-model agent support
Mar 19, 202610 min readProduct Updates

Taskade Genesis: Community Profiles, AI Thinking Modes & Multi-Model Agents (March 2026)

New in Taskade Genesis: public community profiles, four AI thinking modes (Standard, Thinking, Reasoning, Auto), and multi-model agent support.

What Is Intelligence? From Neurons to AI Agents — A Complete Guide
Mar 18, 202667 min readAI

What Is Intelligence? From Neurons to AI Agents — A Complete Guide (2026)

What is intelligence — and does AI have it? From biological neurons to artificial neural networks, from Deep Blue to today's frontier AI models, this guide traces the complete arc of intelligence. Understand the biological parallels, the philosophical debates, and how AI agents are reshaping the definition. Updated March 2026.

What Is Artificial Life? How Intelligence Emerges from Code
Mar 17, 202641 min readAI

What Is Artificial Life? How Intelligence Emerges from Code (2026)

From Conway's Game of Life to self-replicating programs — artificial life reveals how intelligence, purpose, and complexity emerge from simple rules. A complete guide to ALife, computational emergence, and what it means for AI agents and living software. Updated March 2026.

What Is Grokking in AI? When Models Suddenly Learn to Generalize
Mar 16, 202648 min readAI

What Is Grokking in AI? When Models Suddenly Learn to Generalize (2026)

Grokking is when neural networks suddenly transition from memorizing data to truly understanding patterns. Discovered by accident at OpenAI, this phenomenon reveals how AI models learn trigonometric identities to solve math — and what it means for the future of AI. Updated March 2026.

Agentic engineering platforms for AI agent orchestration compared in 2026
Mar 15, 2026106 min readAI

12 Best Agentic Engineering Platforms and Tools for AI Agent Orchestration in 2026

Compare 12 agentic engineering platforms for AI agent orchestration in 2026. Side-by-side valuations, GitHub stars, pricing, and detailed feature breakdowns for Taskade Genesis, CrewAI, LangGraph, Cursor, Devin, and more.

What Is Mechanistic Interpretability? How We're Learning to Understand AI
Mar 15, 202665 min readAI

What Is Mechanistic Interpretability? How We're Learning to Understand AI (2026)

Mechanistic interpretability reverse-engineers neural networks to understand how AI actually thinks. From Anthropic's circuit discovery in Claude to the grokking phenomenon — a complete guide to the science of understanding AI. Updated March 2026.

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