Skip to content

Commit bcaaf36

Browse files
ofriwclaude
ofriw
and
claude
committed
Add initial course content and module structure
🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
1 parent 4cd34e4 commit bcaaf36

File tree

10 files changed

+702
-0
lines changed

10 files changed

+702
-0
lines changed

‎website/blog/2024-10-21-welcome.md‎

Lines changed: 87 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,87 @@
1+
---
2+
slug: welcome
3+
title: Welcome to the AI Coding Course
4+
authors: [course-team]
5+
tags: [announcement, ai-coding, getting-started]
6+
---
7+
8+
# Welcome to the AI Coding Course
9+
10+
We're excited to launch this comprehensive course on AI-assisted software engineering for experienced developers.
11+
12+
<!-- truncate -->
13+
14+
## Why This Course?
15+
16+
AI coding assistants have transformed how we write software, but many developers use them ineffectively. This course bridges that gap by teaching:
17+
18+
- **Systematic approaches** to prompting and code generation
19+
- **Best practices** for integrating AI into professional workflows
20+
- **Critical evaluation** of AI-generated code
21+
- **Production-ready patterns** that work in real-world projects
22+
23+
## What Makes This Course Different?
24+
25+
### 1. For Experienced Developers
26+
27+
This isn't an introduction to programming. We assume you:
28+
29+
- Already know how to code
30+
- Understand software architecture
31+
- Have production development experience
32+
33+
We skip the basics and focus on **AI-specific skills** that amplify your expertise.
34+
35+
### 2. Hands-On and Practical
36+
37+
Every lesson includes:
38+
39+
- Real code examples
40+
- Interactive exercises
41+
- Production patterns
42+
- Common pitfalls to avoid
43+
44+
### 3. Continuously Updated
45+
46+
AI tools evolve rapidly. This course uses **versioning** to maintain historical content while adding new techniques and best practices.
47+
48+
### 4. Open and Free
49+
50+
The entire course is open-source and free. Contribute lessons, suggest improvements, or fork it for your team.
51+
52+
## Course Structure
53+
54+
The course is organized into five modules:
55+
56+
1. **Fundamentals** - Understanding AI coding assistants
57+
2. **Prompting Techniques** - Effective communication with AI
58+
3. **Tools & Workflows** - Integration into your development process
59+
4. **Architecture & Design** - High-level system design with AI
60+
5. **Advanced Topics** - Security, performance, and specialized use cases
61+
62+
## Getting Started
63+
64+
Ready to begin? Head to the [course introduction](/docs/) to start learning.
65+
66+
## Community and Contributions
67+
68+
We encourage discussion and contributions:
69+
70+
- **GitHub Discussions** for questions and community support
71+
- **Issues** for bug reports and suggestions
72+
- **Pull Requests** for content improvements
73+
74+
## Stay Updated
75+
76+
We'll post regular updates here covering:
77+
78+
- New lessons and modules
79+
- Case studies from real projects
80+
- Industry trends in AI-assisted development
81+
- Best practices and patterns
82+
83+
Follow along and level up your AI coding skills!
84+
85+
---
86+
87+
**Get Started:** [Course Introduction](/docs/)

‎website/blog/authors.yml‎

Lines changed: 8 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,8 @@
1+
course-team:
2+
name: AI Coding Course Team
3+
title: Course Maintainers
4+
url: https://github.com/ofriw/AI-Coding-Course
5+
image_url: https://github.com/ofriw.png
6+
page: false
7+
socials:
8+
github: ofriw

‎website/blog/tags.yml‎

Lines changed: 29 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,29 @@
1+
announcement:
2+
label: Announcement
3+
permalink: /announcement
4+
description: Course announcements and updates
5+
6+
ai-coding:
7+
label: AI Coding
8+
permalink: /ai-coding
9+
description: AI-assisted software development
10+
11+
getting-started:
12+
label: Getting Started
13+
permalink: /getting-started
14+
description: Introductory content for new learners
15+
16+
case-study:
17+
label: Case Study
18+
permalink: /case-study
19+
description: Real-world examples and case studies
20+
21+
best-practices:
22+
label: Best Practices
23+
permalink: /best-practices
24+
description: Best practices and patterns
25+
26+
tools:
27+
label: Tools
28+
permalink: /tools
29+
description: AI coding tools and workflows

‎website/docs/advanced-topics/index.md‎

Lines changed: 76 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,76 @@
1+
---
2+
sidebar_position: 6
3+
sidebar_label: 'Advanced Topics'
4+
---
5+
6+
# Advanced Topics
7+
8+
Explore specialized use cases, security considerations, performance optimization, and cutting-edge techniques for AI-assisted development.
9+
10+
## Module Overview
11+
12+
This advanced module covers specialized topics, edge cases, and emerging techniques that push the boundaries of AI-assisted development.
13+
14+
## What You'll Learn
15+
16+
### Security & Best Practices
17+
18+
- Security review with AI
19+
- Identifying vulnerabilities in AI-generated code
20+
- Secure coding patterns
21+
- Privacy and data handling
22+
- License compliance and attribution
23+
24+
### Performance Optimization
25+
26+
- Performance profiling with AI
27+
- Optimization suggestions and validation
28+
- Algorithm selection and complexity
29+
- Benchmarking and measurement
30+
31+
### Specialized Domains
32+
33+
- Machine learning and data science code
34+
- Systems programming
35+
- Mobile development
36+
- DevOps and infrastructure as code
37+
- Embedded systems
38+
39+
### Emerging Techniques
40+
41+
- Multi-agent collaboration
42+
- Custom model fine-tuning
43+
- Retrieval-augmented generation (RAG)
44+
- Automated testing and QA
45+
- Code migration and modernization
46+
47+
### Production Considerations
48+
49+
- Monitoring AI-generated code in production
50+
- Debugging and troubleshooting
51+
- Long-term maintenance
52+
- Technical debt management
53+
- Team training and adoption
54+
55+
## Lessons in This Module
56+
57+
1. **Security-First Development** - Using AI safely and securely
58+
2. **Performance Engineering** - Optimization with AI assistance
59+
3. **Specialized Use Cases** - Domain-specific applications
60+
4. **Custom Tooling** - Building AI-powered development tools
61+
5. **Production Readiness** - From prototype to production
62+
6. **Future of AI Coding** - Emerging trends and techniques
63+
64+
## Prerequisites
65+
66+
- Completion of [Architecture & Design](/docs/architecture-design) module
67+
- Production development experience
68+
- Strong understanding of software engineering principles
69+
70+
## Time Commitment
71+
72+
This module takes approximately **6-8 hours** to complete, including advanced exercises and case studies.
73+
74+
---
75+
76+
Ready for advanced techniques? Start with **Lesson 1: Security-First Development**.

‎website/docs/architecture-design/index.md‎

Lines changed: 68 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,68 @@
1+
---
2+
sidebar_position: 5
3+
sidebar_label: 'Architecture & Design'
4+
---
5+
6+
# Architecture & Design with AI
7+
8+
Leverage AI for system design, architectural decisions, and high-level problem-solving. Learn when and how to use AI for design work versus implementation.
9+
10+
## Module Overview
11+
12+
AI assistants excel at certain architectural tasks while struggling with others. This module teaches you to use AI effectively for system design, architectural patterns, and technical decision-making.
13+
14+
## What You'll Learn
15+
16+
### AI-Assisted Design
17+
18+
- Using AI for system architecture brainstorming
19+
- Design pattern selection and application
20+
- Database schema design
21+
- API design and specification
22+
- Microservices vs. monolith decisions
23+
24+
### Effective Collaboration
25+
26+
- When to involve AI in design decisions
27+
- Validating AI architectural suggestions
28+
- Using AI to explore trade-offs
29+
- Documenting design decisions with AI
30+
31+
### Practical Applications
32+
33+
- Designing scalable systems
34+
- Security architecture
35+
- Performance optimization strategies
36+
- Cloud architecture patterns
37+
- Legacy system modernization
38+
39+
### Design Documentation
40+
41+
- Architecture diagrams with AI
42+
- Technical specification writing
43+
- API documentation
44+
- System design documents
45+
46+
## Lessons in This Module
47+
48+
1. **AI's Role in Architecture** - Understanding capabilities and limitations
49+
2. **System Design Patterns** - Leveraging AI for pattern selection
50+
3. **Database Design** - Schema design and optimization
51+
4. **API Design** - RESTful, GraphQL, and gRPC with AI
52+
5. **Scalability & Performance** - Designing for scale with AI guidance
53+
6. **Security Architecture** - Security-first design with AI
54+
7. **Documentation** - Creating and maintaining design docs
55+
56+
## Prerequisites
57+
58+
- Completion of [Tools & Workflows](/docs/tools-and-workflows) module
59+
- Experience with system design
60+
- Understanding of common architectural patterns
61+
62+
## Time Commitment
63+
64+
This module takes approximately **6-7 hours** to complete, including case studies and design exercises.
65+
66+
---
67+
68+
Ready to design with AI? Start with **Lesson 1: AI's Role in Architecture**.

‎website/docs/fundamentals/index.md‎

Lines changed: 65 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,65 @@
1+
---
2+
sidebar_position: 2
3+
sidebar_label: 'Fundamentals'
4+
---
5+
6+
# AI Coding Fundamentals
7+
8+
Welcome to the first module of the AI Coding Course. In this module, you'll build a solid foundation for understanding and working with AI coding assistants.
9+
10+
## Module Overview
11+
12+
This module covers the essential concepts you need to understand before diving into AI-assisted development:
13+
14+
- How AI coding assistants work under the hood
15+
- Understanding capabilities and limitations
16+
- Mental models for effective AI collaboration
17+
- When to use (and not use) AI assistance
18+
- Common pitfalls and how to avoid them
19+
20+
## What You'll Learn
21+
22+
### Understanding AI Models
23+
24+
- Large Language Models (LLMs) and code generation
25+
- Token limits and context windows
26+
- Temperature and sampling in code generation
27+
- Determinism vs. creativity in outputs
28+
29+
### Effective AI Collaboration
30+
31+
- The developer-AI partnership model
32+
- Critical thinking and code verification
33+
- Understanding AI suggestions
34+
- Building trust through validation
35+
36+
### Practical Foundations
37+
38+
- Setting up your AI development environment
39+
- First interactions with AI coding tools
40+
- Reading and evaluating AI-generated code
41+
- Iterative refinement techniques
42+
43+
## Lessons in This Module
44+
45+
1. **Introduction to AI Coding Assistants** - Understanding what AI can and cannot do
46+
2. **How LLMs Generate Code** - Technical foundations you need to know
47+
3. **Mental Models for AI Collaboration** - Thinking effectively with AI
48+
4. **Setting Up Your Environment** - Tools and configuration
49+
5. **Your First AI-Assisted Project** - Hands-on practice
50+
51+
## Prerequisites
52+
53+
Before starting this module, ensure you:
54+
55+
- Have read the [course introduction](/docs)
56+
- Have access to at least one AI coding tool
57+
- Have a development environment set up
58+
59+
## Time Commitment
60+
61+
This module takes approximately **3-4 hours** to complete, including hands-on exercises.
62+
63+
---
64+
65+
Ready to begin? Start with **Lesson 1: Introduction to AI Coding Assistants**.

0 commit comments

Comments
 (0)