# Chronological Article Timeline Explore 58 articles in chronological order. See the evolution of AI development topics from 2024 to 2026. <div class="callout" data-callout="info"> <div class="callout-title">Timeline Navigation</div> <div class="callout-content"> Articles are organized by publication date, newest first. Jump to any year or scroll through the timeline. </div> </div> --- ## Timeline Overview - **2026**: 7 articles - **2025**: 49 articles - **2024**: 2 articles --- ## 2026 ### January 2026 **2026-01-12** • [[Practical Applications/auto-updating-claude-code-cli-tools|Auto-Updating CLI Tools for Claude Code Skills]] *Practical Applications* • intermediate • 8 min Build an automated system that discovers CLI dependencies from Claude Code skill metadata and keeps them updated weekly via LaunchAgent. **2026-01-10** • [[my-personal-ai-assistant-clawdbot-seneca|My Personal AI Assistant Lives Everywhere: Building with Clawdbot]] *Practical Applications* • intermediate • 9 min How I built Seneca, a personal AI assistant with memory and soul that lives across Mac, Telegram, WhatsApp, and my entire infrastructure using Clawdbot. **2026-01-10** • [[debugging-claude-code-with-claude|Debugging Claude Code with Claude: A Meta-Optimization Journey]] *Practical Applications* • intermediate • 15 min Using Claude to analyze its own debug logs and session data reveals hidden performance bottlenecks and provides a systematic approach to optimizing AI development tools. **2026-01-10** • [[Pruning Your AI Agent Skills Library|Pruning Your AI Agent Skills Library: A Practical Guide to Skill Consolidation]] *AI Development & Agents* • intermediate • 7 min Learn how to audit, consolidate, and optimize your AI agent's skills library using practical patterns that reduce overlap and improve reliability. **2026-01-09** • [[making-claude-code-more-agentic|Making Claude Code More Agentic: Parallel Execution, Model Routing, and Custom Agents]] *AI Development & Agents* • intermediate • 12 min How to configure Claude Code to use more subagents, run operations in parallel, and behave more like the multi-agent systems we've come to expect from tools like OpenCode. **2026-01-09** • [[when-launchagents-attack-100-dollar-api-crash-loop|When LaunchAgents Attack: A $100 API Crash Loop Story]] *Practical Applications* • intermediate • 8 min How three duplicate LaunchAgents, a port conflict, and missing cost monitoring created 4,590 restart attempts and $100 in overnight API charges. **2026-01-07** • [[dendrite-o1-fork-agent-inference|Dendrite: Why O(1) Fork Latency Changes Everything for AI Agents]] *AI Systems & Architecture* • intermediate • 10 min Deep dive into Dendrite, an agent-native inference engine that achieves 1000-10000x faster branching through O(1) fork latency, making Tree-of-Thought and MCTS practical for interactive AI agents. --- ## 2025 ### November 2025 **2025-11-06** • [[Knowledge/Blog-Obsidian/Practical Applications/claude-skills-vs-mcp-servers|Claude Skills vs MCP Servers: Why Context Efficiency Matters]] *Practical Applications* • intermediate • 12 min Learn how Claude Code skills provide a lightweight alternative to MCP servers with 30% better context efficiency while maintaining flexibility. **2025-11-06** • [[building-ai-research-night-shift|My AI Research Assistant Works the Night Shift (A Claude Code Skill Story)]] *Practical Applications* • intermediate • 10 min How I built a Claude Code skill that researches AI developments overnight using intelligent automation that adapts, prevents duplicates, and provides instant answers. **2025-11-06** • [[prompt-build-ai-landscaping-skill|Prompt for Claude Code: Build AI Landscaping Skill]] *Practical Applications* • intermediate • 8 min Copy-paste prompt for Claude Code to build a complete AI research intelligence skill with duplicate prevention, structured storage, and instant retrieval. ### October 2025 **2025-10-28** • [[dgx-spark-week-one-finding-the-right-stack|DGX Spark: Week One Update - Finding the Right Stack]] *AI Systems & Architecture* • advanced • 15 min Systematic debugging reveals configuration fixes that transformed DGX Spark performance from frustrating to transformative with 3.6x speedups. **2025-10-28** • [[medical-llm-fine-tuning-70-to-92-percent|How I Delegated a 9-Day Medical AI Experiment (and Learned When to Step In)]] *Practical Applications* • intermediate • 14 min • **DGX Lab Chronicles Part 6** Delegating a complex 60-hour ML experiment to Claude revealed when to intervene and when to trust. Learn the decision points that turned 70% accuracy into 92.4%. **2025-10-26** • [[dgx-lab-benchmarks-vs-reality-day-4|DGX Lab: When Benchmark Numbers Meet Production Reality - Day 4]] *Practical Applications* • intermediate • 10 min • **Series Part 4** NVIDIA's DGX Spark benchmarks show 82,739 tokens/sec for training and sub-1% accuracy degradation with FP4. After 6 days of intensive ML workloads, I reveal what the benchmarks don't tell you about GPU inference failures, memory fragmentation, and production workarounds. **2025-10-23** • [[the-hidden-crisis-in-llm-fine-tuning-catastrophic-forgetting|The Hidden Crisis in LLM Fine-Tuning: When Your Model Silently Forgets Everything]] *Emerging Trends* • intermediate • 13 min Catastrophic forgetting in LLM fine-tuning is a silent killer that produces zero-token outputs without errors or warnings, and the solution might surprise you. **2025-10-21** • [[three-days-to-build-ai-research-lab-dgx-claude|Three Days to Build an AI Research Lab: My DGX + Claude Experiment]] *Practical Applications* • intermediate • 7 min • **Series Part 1** From hardware delivery to production ML experiments in 72 hours, building an AI research lab with Claude Code as a thought partner and documenting the entire journey. **2025-10-20** • [[dgx-lab-supercharged-bashrc-ml-workflows-day-2|DGX Lab: Supercharge Your Shell with 50+ ML Productivity Aliases - Day 2]] *Practical Applications* • beginner • 10 min • **Series Part 2** Transform your default shell into a productivity powerhouse with GPU monitoring shortcuts, smart aliases, and custom functions—setup in 5 minutes, benefit forever. **2025-10-20** • [[dgx-lab-intelligent-gateway-heuristics-vs-ml-day-1|DGX Lab: When Simple Heuristics Beat ML by 95,000x - Day 1]] *Practical Applications* • intermediate • 14 min • **Series Part 1** Building an intelligent AI gateway that routes requests 95,000x faster than ML while maintaining 90% accuracy—proving that smart heuristics can outperform deep learning. **2025-10-20** • [[syncing-claude-code-configs-across-machines|Syncing Claude Code Configurations Across Multiple Machines: A Practical Guide]] *Practical Applications* • intermediate • 15 min Learn how to intelligently sync Claude Code configurations across Mac, Pi, and DGX boxes while preserving machine-specific settings like model endpoints and API keys. **2025-10-19** • [[building-production-ml-workspace-part-5-collaboration|Building a Production ML Workspace: Part 5 - Team Collaboration and Workflow Integration]] *Practical Applications* • intermediate • 14 min • **Series Part 5/5** Complete your production ML workspace with team collaboration patterns, workflow automation, version control strategies, and integration frameworks that scale. **2025-10-19** • [[building-production-ml-workspace-part-4-agents|Building a Production ML Workspace: Part 4 - Production-Ready AI Agent Templates]] *Practical Applications* • intermediate • 10 min • **Series Part 4/5** Build production-ready AI agents with standardized templates, tool integration patterns, comprehensive testing, and deployment readiness frameworks. **2025-10-19** • [[building-production-ml-workspace-part-3-experiments|Building a Production ML Workspace: Part 3 - Experiment Tracking and Reproducibility]] *Practical Applications* • intermediate • 12 min • **Series Part 3/5** Master experiment tracking with MLflow, implement reproducible workflows, and build structured systems for managing ML research that scales from prototype to production. **2025-10-19** • [[building-production-ml-workspace-part-2-documentation|Building a Production ML Workspace: Part 2 - Documentation Systems That Scale]] *Practical Applications* • beginner • 7 min • **Series Part 2/5** Build a three-tier documentation system that captures ML work for debugging, review, and blog content—turning your experiments into shareable knowledge. **2025-10-19** • [[building-production-ml-workspace-part-1-structure|Building a Production ML Workspace: Part 1 - Designing an Organized Structure]] *Practical Applications* • beginner • 8 min • **Series Part 1/5** Learn how to design a scalable ML workspace structure that handles Ollama models, fine-tuning, agents, and experiments without becoming chaotic. ### July 2025 **2025-07-16** • [[roo-code-codebase-indexing-free-setup|Supercharging Code Discovery: My Journey with Roo Code's Free Codebase Indexing]] *Practical Applications* • beginner • 12 min Set up professional-grade semantic code search using Roo Code's codebase indexing with completely free tools - Qdrant Cloud and Google Gemini. **2025-07-02** • [[sakana-ai-ab-mcts-collective-intelligence|Sakana AI's AB-MCTS: Orchestrating Collective Intelligence in Frontier AI Models]] *Cutting-Edge AI* • advanced • 7 min Deep analysis of Sakana AI's breakthrough AB-MCTS algorithm achieving 39.2% solve rate on ARC-AGI-2 through adaptive branching Monte Carlo tree search. ### June 2025 **2025-06-16** • [[dspy-programming-language-models-at-scale|DSPy: The Programming Revolution for Language Model Applications]] *AI Development & Agents* • intermediate • 5 min Deep dive into DSPy, Stanford NLP's framework that provides systematic, programming-first approach to LLM development with 25-65% performance improvements. **2025-06-16** • [[anthropic-multi-agent-research-system|Anthropic's Multi-Agent Research System: Engineering Autonomous Scientific Discovery]] *AI Development & Agents* • advanced • 5 min Deep dive into Anthropic's engineering approach to building a multi-agent research system that autonomously conducts scientific research. **2025-06-02** • [[gemini-diffusion-google-deepmind-analysis|Gemini Diffusion: What if Text Generators Worked Like Stable Diffusion for Words?]] *Cutting-Edge AI* • advanced • 9 min Google DeepMind's Gemini Diffusion brings discrete-token diffusion to production scale, achieving 1-2k tokens/second through block-parallel denoising. ### May 2025 **2025-05-04** • [[crct-v7-7-roo-code-adaptation|CRCT: A Technical Overview of the Cline Recursive Chain-of-Thought System]] *AI Development & Agents* • intermediate • 3 min Technical exploration of CRCT, examining how it enhances AI agent memory management and integration with existing codebases. ### April 2025 **2025-04-20** • [[claude-code-best-practices|Claude Code: Best Practices for Agentic Coding]] *AI Development & Agents* • beginner • 7 min Comprehensive guide to optimizing your workflow with Claude Code, covering setup customization, effective workflows, and advanced techniques. **2025-04-18** • [[building-effective-ai-agents-openai-guide|Building Effective AI Agents: Key Insights from OpenAI's Practical Guide]] *AI Development & Agents* • intermediate • 5 min Comprehensive analysis of OpenAI's practical guide to building agents, covering foundational concepts, orchestration patterns, and implementation best practices. **2025-04-18** • [[agentic-content-creation-openai-guide-case-study|Agentic Content Creation: From PDF to Polished Blog in Under a Minute]] *AI Systems & Architecture* • intermediate • 7 min Technical deep dive into how AI agents, mode switching, and MCP tools transform raw content into polished, publication-ready blog posts. **2025-04-17** • [[openai-o3-o4-mini-codex-release-analysis|OpenAI's o3 and o4-mini: Business Impact of Advanced Reasoning Models]] *Cutting-Edge AI* • intermediate • 5 min Analysis of OpenAI's new o3 and o4-mini models with enhanced reasoning capabilities and strategic implications for businesses. **2025-04-16** • [[manus-im-vs-camel-ai-owl|Manus IM vs CAMEL & AI-OWL: Comparative Analysis of Multi-Agent Research Systems]] *AI Development & Agents* • advanced • 5 min Comprehensive comparison of Manus IM, CAMEL, and AI-OWL multi-agent research systems, analyzing their approaches to automated scientific research. **2025-04-14** • [[gpt-4-1-release-technical-analysis|GPT-4.1 Technical Analysis: API-Only Release Signals OpenAI's Agent-First Strategy]] *Cutting-Edge AI* • intermediate • 6 min Technical analysis of OpenAI's GPT-4.1 release, comparing it with Claude, Gemini, and Llama 4, with focus on agent capabilities and API-only strategy. **2025-04-11** • [[advanced-prompt-engineering-oncology-ds|Advanced Prompt Engineering for Oncology Data Science: Techniques for Robust AI Systems]] *AI Systems & Architecture* • advanced • 5 min Technical deep dive into advanced prompt engineering techniques (CoT, ReAct, Structured Outputs) tailored for oncology data scientists. **2025-04-11** • [[unlocking-ai-value-with-prompt-engineering|Unlock AI's Full Potential: Why Prompt Engineering is Your Business Superpower]] *Practical Applications* • beginner • 4 min Master prompt engineering techniques to unlock better, more reliable AI outputs that drive real business results. **2025-04-10** • [[elevating-prompt-engineering-with-integrated-tools|Elevating Prompt Engineering with Integrated Tools]] *Practical Applications* • intermediate • 6 min Building integrated prompt refinement tools transforms how developers interact with LLMs, streamlining workflows through concept elevation. **2025-04-09** • [[agentrxiv-automated-toolkit-selection|AgentRxiv: Enabling Automated Toolkit Selection for AI Agents]] *AI Systems & Architecture* • intermediate • 3 min Analysis of how AgentRxiv's collaborative research platform revolutionizes automated toolkit selection for AI agents. **2025-04-04** • [[analyzing-the-ai-2027-scenario|A Technical Deep Dive into the AI-2027 Scenario: Capabilities, Alignment, and Geopolitics]] *Cutting-Edge AI* • intermediate • 7 min Technical analysis of the AI-2027 scenario, examining predictions for AI capabilities, alignment challenges, and geopolitical implications. ### March 2025 **2025-03-28** • [[expert-conductor-prompt-llm-comparison|The Expert Conductor Prompt: A Comparative Analysis of LLM Reasoning Patterns]] *AI Systems & Architecture* • advanced • 9 min Comparative analysis of how Claude Sonnet 3.7, Gemini 2.5 Pro, and OpenAI o3 respond to the Expert Conductor prompt for complex problem-solving. **2025-03-27** • [[manus-im-system-architecture|Inside Manus.im: The Elegant Architecture Behind a Powerful AI Agent]] *AI Systems & Architecture* • advanced • 8 min Technical deep dive into the system architecture of Manus.im, revealing how elegant prompt engineering and tool design enable autonomous capabilities. **2025-03-27** • [[manus-vs-mymanus-system-architecture|Manus.im vs MyManus: A Technical Deep Dive into AI Agent System Architecture]] *AI Systems & Architecture* • advanced • 3 min Comprehensive technical comparison of Manus.im and MyManus system architectures, revealing how core components serve different deployment models. **2025-03-26** • [[llm-code-generation-comparison|The Business Edge of AI Code Generation: Comparing LLM-Generated To-Do Apps]] *Cutting-Edge AI* • intermediate • 7 min Deep technical analysis of to-do applications generated by five leading AI models, revealing insights about code quality and architectural choices. **2025-03-26** • [[ai-agent-platforms-pharma-rd-comparison|AI Agent Platforms for Pharmaceutical R&D: Executive Summary]] *AI Systems & Architecture* • intermediate • 5 min Strategic comparison of AI agent platforms for pharmaceutical R&D leaders, focusing on regulatory compliance, data security, and workflow integration. **2025-03-25** • [[deepseek-v3-0324-technical-review|DeepSeek V3-0324: Business Impact of Open-Source AI at Scale]] *Cutting-Edge AI* • intermediate • 4 min In-depth analysis of DeepSeek V3-0324, examining how this 685B parameter open-source model is reshaping enterprise AI strategies. **2025-03-25** • [[claude-think-tool-technical-review|Claude's Think Tool: A Technical Deep Dive and Cross-Model Analysis]] *Cutting-Edge AI* • intermediate • 8 min Comprehensive technical analysis of Anthropic's Think Tool for Claude, examining its architecture, performance, and adaptation potential. **2025-03-25** • [[ai-task-doubling|AI Task Completion Length Doubles Every 7 Months: Implications for the Future of Work]] *Emerging Trends* • beginner • 5 min Analysis of METR's research showing AI task completion capabilities double every 7 months, with projections for multi-day software projects by 2028. **2025-03-24** • [[agent-architectures-with-mcp|Agent Architectures with Model Context Protocol: A Technical Survey]] *AI Systems & Architecture* • advanced • 11 min Technical survey of architectural patterns for implementing AI agents with Model Context Protocol, including comparative analysis of frameworks. **2025-03-24** • [[hybrid-deployment-vercel-render-digitalocean|Deployment Dilemma: When to Use Vercel, Render, or Digital Ocean for React/Python Apps]] *Practical Applications* • intermediate • 7 min Practical guide to choosing the right deployment platform for React/Python applications across Vercel, Render, and Digital Ocean. **2025-03-22** • [[model-context-protocol-implementation|Implementing Model Context Protocol (MCP) Across AI Coding Assistants]] *AI Systems & Architecture* • intermediate • 3 min Comprehensive guide to implementing Model Context Protocol (MCP) across different AI coding assistants with practical examples and best practices. **2025-03-21** • [[custom-modes-quick-start|Creating Custom Modes in Roo Code: A Quick Start Guide]] *AI Systems & Architecture* • beginner • 3 min Learn how to create and use custom modes in Roo Code to build specialized AI agents for your development workflow. **2025-03-21** • [[cline-roo-code-quick-start|Cline and Roo Code: Quick Start Guide]] *Practical Applications* • beginner • 10 min Get started with Cline and Roo Code AI coding agents in VS Code, covering installation, features, and optimization techniques. **2025-03-20** • [[roo-code-github-copilot-setup|How to Set Up Roo Code with GitHub Copilot: A Technical Guide]] *Practical Applications* • beginner • 3 min Step-by-step guide for setting up Roo Code with GitHub Copilot, leveraging Claude 3.7 Sonnet while maintaining enterprise compliance. **2025-03-18** • [[transforming-research-into-interactive-app|Transforming AI Research into an Interactive Web Application: A Case Study]] *Practical Applications* • intermediate • 3 min Transform complex AI research output into an interactive web application using modern web technologies and Roo Code. **2025-03-15** • [[obsidian-publish-article-garden|Creating a Technical Article Garden with Obsidian Publish]] *Practical Applications* • beginner • 4 min Learn how to set up Obsidian Publish for technical documentation and create an interconnected knowledge base that grows over time. ## 2024 ### March 2024 **2024-03-21** • [[mastering-clinerules-configuration|Mastering .clinerules: Advanced Configuration for AI-Assisted Development]] *AI Development & Agents* • intermediate • 3 min Comprehensive guide to configuring and optimizing .clinerules for enhanced AI-assisted development, including best practices and advanced patterns. **2024-03-21** • [[building-markdown-rag-system|Building a Markdown RAG System: A Practical Guide to Document-Grounded AI]] *AI Systems & Architecture* • intermediate • 3 min Detailed walkthrough of building a Retrieval-Augmented Generation (RAG) system for markdown documents with lightweight implementation. --- ## Quick 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