AI with Alex's Blog

Workflow Orchestration

1. Plan Node Default

• Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
• If something goes sideways, STOP and re-plan immediately – don’t keep pushing
• Write detailed specs upfront to reduce ambiguity

2. Subagent Strategy

• Use subagents liberally to keep main context window clean
• Offload research, exploration, and parallel analysis to subagents
• One tack per subagent for focused execution

• 1. Project Overview: What is Tlias?
  • 1.1 Core Technology Stack
  • 1.2 Project Architecture
  • 1.3 Project Structure Overview
  • 1.4 Database Design
• 2. Environment Setup: The Hardest Part
  • 2.1 Key Insight
  • 2.2 Unified Response Class
• 3. Department Management
• 4. Employee Management: Pagination & Dynamic SQL
  • 4.1 Pagination Query (Basic Version)
  • 4.2 Using PageHelper Plugin (Recommended) – Deep Dive
  • 4.3 Conditional Pagination Query (Dynamic SQL) – Advanced Details
  • 4.4 Batch Delete Employees – ForEach in XML
  • 4.5 Add Employee

• Understanding Git Basics
  • 1. Working Directory
  • 2. Staging Area (Index)
  • 3. Repository
• Essential Git Commands
  • Initial Setup
  • Cloning a Repository
  • Tracking and Committing Changes
  • View history
  • Recommended commit prefixes

project demo1
project demo2

• 1. Introduction to CSS3
  • 1.1 What is CSS3?
  • 1.2 Core Roles of CSS3
  • 1.3 CSS Classification by Location
• 2. CSS3 Selectors: Target Elements Precisely
  • 2.1 Basic Selectors
  • 2.2 Relationship Selectors
  • 2.3 Pseudo-Classes & Pseudo-Elements
  • 2.4 Attribute Selectors
• 3. Text Styling & Layout
  • 3.1 Font Styles
  • 3.2 Text Layout
  • 3.3 Font Shorthand
• 4. CSS Specificity (Priority)
• 5. Box Model
  • 5.1 Box Model Components
  • 5.2 Key Properties
  • 5.3 Box Sizing
  • 5.4 Box Model Components
  • 5.5 Margin Collapse & Collapse Fix
• 6. CSS Backgrounds
  • 6.1 Background Properties
  • 6.2 Background Gradients

• 1. Introduction:
  • 1.1 Welcome to the world of Machine Learning
  • 1.2 What Is Machine Learning?
  • 1.3 Supervised Learning
  • 1.4 Unsupervised Learning
• 2. Linear Regression with One Variable
  • 2.1 Model Representation
  • 2.2 Cost Function
    • 2.2.1 Definition of the Cost Function
  • 2.3 Intuition for the Cost Function (I)
  • 2.4 Intuition for the Cost Function (II): Contour Plots
  • 2.5 Gradient Descent
  • 2.6 Gradient Descent Intuition
  • 2.7 Gradient Descent for Linear Regression