Modern Simple Living

Tech — Gear Review Apple MacBook Pro M4 Pro - Intentional Upgrade *Balancing power, purpose, and pragmatic investment for deeper learning.* M4 Pro CPU 24 GB RAM 512 GB SSD $ 1,800 Pro PricE Table of Contents ① Why Now? ② The Search for Balance ③ Future-Proofing Intentions Section I Why Now? My M3 iMac, while perfectly capable for daily tasks and basic iOS development, has started to reach its limits as I push into more complex software development. The desire to really dig into newer technologies like Docker, Kubernetes, C# RESTful APIs, and React has outpaced its capabilities. This isn't about chasing the latest trend; it's about acquiring the right tool to expand my skills and understanding. It’s been a decade since I last bought a dedicated laptop for serious work – a trusty HP from 2016 that, frankly, is now too slow for anything but basic tasks. While I acquired a couple of older MacBook Airs I've repurposed as Linux machines, I considered them for light computing....

Feature The Motivation Behind the Build *Optimizing my creative workflow through custom AI-assisted tooling* 1 Hour Build Time 3 AI Models Used 1.0 Current Version Table of Contents ① Section I — The Motivation Behind the Build ② Section II — Building the Tool: Process & Pains ③ Section III — A Smarter AI Workflow ④ Section IV — What's Next Section I Section I — The Motivation Behind the Build I’ve been spending a lot of time studying and practicing AI-assisted coding. While I enjoyed using Claude Pro, I kept running into token limits. It broke my flow and made longer sessions frustrating. Instead of trying to push past those limits, I shifted my approach. I decided to build a simple Python web tool that handles formatting and blog generation for me, and more importantly, lets me optimize token usage by leveraging each model for what it does best.   Section II Section II — Building the Tool: Process & Pains Building the tool in Visual Studio Code only took a few minute...

$ claude --mode vibe-coding Vibe Coding with Claude Code + Azure Web App Full-stack solo development, AI-assisted $17 / month 1 Developer 4 Stack Layers ∞ Auto-Deploys As a single developer, I'm now able to own the entire lifecycle of a web application — cloud infrastructure, version control, CI/CD, and full-stack development — all using AI as a co-pilot. It's quite impressive how far we've come. I signed up for Claude Code Pro ($200/year at ~$17/month) and paired it with an Azure Web App to stand up an ASP.Net MVC web app with auto-deployment from GitHub. Running Claude Code directly inside VS Code keeps everything in one place — no context switching, the AI is right where the code lives. // table of contents 01  What I'm Practicing 02  The Stack 03  Why It Works 04  Concerns ...

Study Log · Machine Learning Back to Studying HOMLP Chapter 5 — Decision Trees & Cold Brew ✦ ◆ ✦ 5 Chapter ~1mo Break Taken EOM Target This weekend I'm back studying Chapter 5 (Decision Trees) from Hands-On Machine Learning. I took about a month off. On the Subject Decision Trees Decision Trees are satisfying to study. The logic is clean. You can visualize exactly how predictions are made. It feels structured and practical.   The Core Loop → Split the data — find the feature and threshold that best separates the classes → Measure impurity — Gini or entropy tells you how mixed a node is → Control depth — max_depth and min_samples are your primary levers → Avoid overfitti...

Tools & Productivity Rediscovering Fountain Pens for Serious Note-Taking Why analog tools matter for Machine Learning studies Table of Contents ① The Problem With Long Sessions ② Returning to Fountain Pens ③ Why They Work Better ④ Durability & Longevity ⑤ Maintenance & Upgrades ⑥ Impact & Ink Stats Introduction As I've been writing a lot of notes for my Machine Learning studies, I've started to notice the physical toll of long writing sessions. On a typical day, I'm putting down 10–15 pages of notes. While reliable, regular gel pens like my Zebra Sarasa Clip 0.5 begin to feel uncomfortable over extended use. The pressure required and narrow grip add up quickly, turning note-taking into a strain rather than a flow. Section I Returning to a Familiar Tool It had been a while, but I recently refilled one of my Pilot Metropolitan fountain ...

Machine Learning  ·  2026 Study Goals ML Fundamentals Annual Goal  ·  2026 A structured path from vocabulary to working models 35h Weekly Target 30 Weeks Planned 8 Sections 3 Phase Sprints One of my main study goals for 2026 is to gain a deeper understanding of Machine Learning. It was previously a sub-discipline of AI, but has become synonymous with it — the impetus behind the latest breakthroughs like ChatGPT. Table of Contents ① Training Setup ② ChatGPT & Vibe Coding ③ Online ML Courses ④ Math Fundamentals ⑤ Statistics ⑥ Python ML Projects ⑦ MLOps + ML Systems ⑧ Learning Plan & Schedule Sec...

Career & Tech Industry ✦ 2025 Job Market From Tough to Terrifying 2021 Hiring Boom 2025 Hiring Freeze ∞ Layoff Count I was reading a Business Insider article about the decline in tech jobs and realized something unsettling: even though it was difficult to land a job in 2021, that was during a tech hiring boom. Opportunities were opening everywhere, startups were raising record funding, and companies were desperate for talent.   So if I was struggling in the midst of boom times… what does that say about now? Then vs. Now Fast Forward to 2025 The landscape feels absolutely terrifying. Layoffs are constant, hiring freezes drag on, and entry-level opportunities have practically evaporated. The optimism that once surrounded tech careers has been replaced with uncertainty and fear. → ...