AI-Assisted Software Development

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AI-Assisted Software Development (Size: 688.7 MB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction
  1. Course Kickoff — From Hopeful Prompts to AI-Assisted Software Engineering (Description).html 1.3 KB
  1. Course Kickoff — From Hopeful Prompts to AI-Assisted Software Engineering.mp4 13.8 MB
  2 - Getting Started — Tools & Setup
  2. Terminal Commands - ls, cd, curl, brew (Description).html 1.1 KB
  2. Terminal Commands - ls, cd, curl, brew.mp4 5.9 MB
  3 - Foundation — LLM Basics
  10. Spec-Driven Development — Tests + Code (Description).html 1.2 KB
  10. Spec-Driven Development — Tests + Code.mp4 39.7 MB
  11. Incremental Development — Adding Tests to Existing Code (Description).html 1.2 KB
  11. Incremental Development — Adding Tests to Existing Code.mp4 19.9 MB
  4 - Development Process
  12. Section introduction (Description).html 1.1 KB
  12. Section introduction.mp4 13.6 MB
  13. Development Process - general (Description).html 1.2 KB
  13. Development Process - general.mp4 18 MB
  5 - Requirements
  14. Project Setup - Workspace & Git (Description).html 1.2 KB
  14. Project Setup - Workspace & Git.mp4 14.8 MB
  15. Product Vision - Todo List App (Description).html 1.2 KB
  15. Product Vision - Todo List App.mp4 17 MB
  16. Product Requirements - Writing Good Requirements (Description).html 1.2 KB
  16. Product Requirements - Writing Good Requirements.mp4 7.8 MB
  17. PRD Setup — Referenced Documents & Structure (Description).html 1.2 KB
  17. PRD Setup — Referenced Documents & Structure.mp4 10.3 MB
  18. PRD Draft — Using AI to Generate Requirements (Description).html 1.2 KB
  18. PRD Draft — Using AI to Generate Requirements.mp4 18.6 MB
  6 - Design
  19. Product Design — Decomposition & Connections (Description).html 1.3 KB
  19. Product Design — Decomposition & Connections.mp4 10.4 MB
  20. Product Design — Practical Example (Description).html 1.2 KB
  20. Product Design — Practical Example.mp4 33.9 MB
  21. High-Level Design Review — Validating with AI Before Implementation (Description).html 1.3 KB
  21. High-Level Design Review — Validating with AI Before Implementation.mp4 45.5 MB
  7 - Planning
  22. Planning the Implementation — Section Overview (Description).html 1.2 KB
  22. Planning the Implementation — Section Overview.mp4 10.3 MB
  23. What Is an Implementation Plan (Description).html 1.2 KB
  23. What Is an Implementation Plan.mp4 12.1 MB
  24. Generating the Implementation Plan (Description).html 1.2 KB
  24. Generating the Implementation Plan.mp4 30.7 MB
  25. Reviewing the Implementation Plan (Description).html 1.2 KB
  25. Reviewing the Implementation Plan.mp4 51.1 MB
  8 - Implementation
  26. Implementation Strategy — Critical Path to MVP (Description).html 1.2 KB
  26. Implementation Strategy — Critical Path to MVP.mp4 21.7 MB
  27. Implementation Kickoff — Task T0.1 (Monorepo Setup) (Description).html 1.2 KB
  27. Implementation Kickoff — Task T0.1 (Monorepo Setup).mp4 26.2 MB
  28. Continuing Implementation — Task T1.1 (Prisma Schema Core Entities) (Description).html 1.2 KB
  28. Continuing Implementation — Task T1.1 (Prisma Schema Core Entities).mp4 41.9 MB
  29. Continuing Implementation — Task T2.4 (JWT Utilities) (Description).html 1.2 KB
  29. Continuing Implementation — Task T2.4 (JWT Utilities).mp4 29.4 MB
  30. Drafting a Pull Request Description from the AI Session (Description).html 1.2 KB
  30. Drafting a Pull Request Description from the AI Session.mp4 31.2 MB
  31. Continuing Implementation — Task T2.5 (Authenticate & Authorize Middleware) (Description).html 1.3 KB
  31. Continuing Implementation — Task T2.5 (Authenticate & Authorize Middleware).mp4 39.2 MB
  32. Implementation Section Wrap-Up — What We've Learned Executing the Plan (Description).html 1.3 KB
  32. Implementation Section Wrap-Up — What We've Learned Executing the Plan.mp4 11.2 MB
  9 - Course Conclusion
  33. Course Conclusion — From Naive Prompts to Structured AI Collaboration (Description).html 1.4 KB
  33. Course Conclusion — From Naive Prompts to Structured AI Collaboration.mp4 12.8 MB
  7. Naive LLM Approach (Description).html 1.1 KB
  7. Naive LLM Approach.mp4 11.4 MB
  8. Naive Approach with Coding Agent + Inline Prompting (Description).html 1.1 KB
  8. Naive Approach with Coding Agent + Inline Prompting.mp4 24 MB
  9. Pro Approach with Coding Agent + Markdown (Description).html 1.2 KB
  9. Pro Approach with Coding Agent + Markdown.mp4 13.9 MB
  3. IDE Basics - Navigation, File Creation, Editing (Description).html 1.2 KB
  3. IDE Basics - Navigation, File Creation, Editing.mp4 6.6 MB
  4. AI Assistants - Chat Interface, File Operations (Description).html 1.2 KB
  4. AI Assistants - Chat Interface, File Operations.mp4 8.3 MB
  5. AI-Terminal Integration - Command Execution (Description).html 1.2 KB
  5. AI-Terminal Integration - Command Execution.mp4 16.2 MB
  6. Git Fundamentals - Setup, Commits, Branching, Merging (Description).html 1.3 KB
  6. Git Fundamentals - Setup, Commits, Branching, Merging.mp4 21 MB

Description


AI-Assisted Software Development
https://WebToolTip.com
Published 5/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 2h 25m | Size: 688.74 MB
A document-driven workflow for building real software with AI — from naive prompting to structured engineering
What you'll learn

Identify where naive prompting breaks down and apply structured techniques to overcome it

Apply a repeatable, document-driven workflow to build real software with AI as a collaborator

Write a product vision, requirements document, and high-level design spec from scratch

Generate and critically review a dependency-aware implementation plan using AI

Execute implementation tasks using a structured branch-per-task workflow

Validate every piece of AI-generated output against criteria you defined yourself

Act as technical lead in an AI-assisted team — deciding, reviewing, and directing
Requirements

Comfort reading and understanding code — no specific language or framework required

Basic familiarity with using a text editor or IDE

No prior AI tooling experience required — we start from the basics

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