Mastering AI Driven Development - Lesson 3

⚠️ RECORDED: February 2025 Models and features evolve quickly, but these core techniques remain my daily workflow. Join my community for latest updates: https://www.skool.com/prompt-to-prod-9369 GitHub Repository for this lesson: https://github.com/jayminwest/tf-ai-development-lesson03 Lesson 3 - Collaborative Coding with Aider 📖 Project Overview Welcome to Lesson 3 of the TandemFlow's AI Development Course. This lesson focuses on improving collaboration with AI coding partners, specifically Aider, to enhance workflow efficiency. The project builds on previous lessons and integrates data analysis into our existing Wikipedia article fetcher. You'll learn how to: - Use Scratchpad.md as a shared workspace for AI-assisted development. - Implement word frequency analysis and generate visualizations. - Utilize AI-driven planning to refine development strategies. 📌 Lesson Breakdown 1️⃣ Repository Setup (00:00:00 - 00:00:19:01) - The GitHub repository has been updated since the last lesson. - Steps to get started: git clone [repo-link] cd [project-folder] - Ensure dependencies are installed before proceeding. 2️⃣ Reviewing Existing Code (00:00:19:01 - 00:01:06:04) - The Wikipedia fetcher remains unchanged from Lesson 2. - This lesson focuses on collaborative AI coding instead of simple code generation. 3️⃣ Introducing Scratchpad.md (00:01:06:04 - 00:01:38:04) - Scratchpad.md is a planning tool between the developer and Aider. - To create the file: touch scratchpad.md - It helps structure plans, outline steps, and refine ideas dynamically. 4️⃣ Running the Wikipedia Fetcher (00:01:38:06 - 00:02:12:21) - Execute the script with: python3 wikipedia_fetcher.py "Python programming language" - Verifies the Wikipedia fetcher is working correctly. 5️⃣ Booting Up Aider (Sonnet Model) (00:02:12:21 - 00:03:27:26) - Sonnet (Claude 3.5) is the recommended AI model for this lesson. - Other models can be used, but Sonnet excels in code refinement. - To add scratchpad.md to Aider's context: /add scratchpad.md 6️⃣ Defining the Project Scope (00:03:27:26 - 00:04:44:01) - Enhancements include: - Word frequency analysis - Bar chart & word cloud visualizations - Basic text statistics (word count, sentence length, etc.) 7️⃣ Developing a Detailed Plan (00:04:44:01 - 00:06:31:24) - Aider generates a structured plan detailing: - Required Python libraries (matplotlib, wordcloud, nltk). - Data processing steps (cleaning, tokenizing, filtering stopwords). - Methods for visualization and statistical computations. 8️⃣ Refining Implementation Details (00:06:31:24 - 00:08:59:14) - High-level steps are broken down further. - Unnecessary complexity removed (e.g., BeautifulSoup HTML parsing was omitted). 9️⃣ Adding Code Examples (00:09:00 - 00:10:30:17) - Functions are outlined with code snippets in Scratchpad.md. - Ensures structured AI-assisted workflow before code implementation. 🔟 Generating & Testing Code (00:10:30:19 - 00:14:12:12) - Aider integrates planned changes into wikipedia_fetcher.py. - Run the script to confirm: python3 wikipedia_fetcher.py "Python programming language" - Validates word cloud and bar chart output, along with text statistics. 1️⃣1️⃣ Key Takeaways (00:14:12:12 - 00:16:51:19) - The Scratchpad Approach: - Helps plan before coding. - Reduces debugging time by maintaining clear AI communication. - AI as a Coding Partner: - AI assists but human oversight is crucial. - Remove unnecessary complexity to maintain project simplicity. - Aiderative Development Mindset: - Proper planning saves time in the long run. - Regularly review and refine scratchpad.md. 🚀 Next Steps - Apply Scratchpad.md workflow to another project. - Experiment with additional AI-assisted enhancements. - Use /ask and /help for AI explanations and guidance. - Continue refining AI-driven coding workflows. This README provides a structured reference guide for Lesson 3, ensuring effective project execution with AI-driven collaborative development. 🚀 See you in Lesson 04!