Mastering AI Driven Development - Lesson 6

⚠️ 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-lesson06 Lesson 6 - Advanced Aider Techniques & Automation 📚 Project Overview Welcome to Lesson 6 of the TandemFlow AI Development Course. This lesson serves as a checkpoint, bridging the foundational skills from previous lessons with more advanced AI-assisted development techniques. We'll focus on automating Aider workflows and leveraging advanced commands to optimize AI-driven coding. You'll learn how to: - Utilize Aider as a mid-level developer for more complex tasks. - Pre-write commands for automated execution. - Implement automated documentation updates and batch processing. - Optimize Aider with slash commands, context management, and cost efficiency. - Use Aider's web scraping feature to stay up to date with external documentation. 📌 Lesson Breakdown 1️⃣ Setting Up Lesson 6 (00:00:00 - 00:00:23:04) - The codebase remains unchanged from Lesson 5. - Additional front-end documentation files have been added. - Ensure your .env file is loaded before launching Aider: aider --model sonnet 2️⃣ Automating Aider with Pre-Written Commands (00:00:23:07 - 00:03:17:09) - A new file: frontend_docs.txt contains pre-written Aider commands. - This file includes: - Adding files to Aider's chat (/add frontend/*) - Updating documentation (/code "Add Google-style documentation.") - Committing changes (/commit "Added comprehensive front-end documentation.") - Run all these commands automatically using: /load frontend_docs.txt - Aider processes the file sequentially, executing each command without manual input. 3️⃣ Saving and Loading Context for Repeated Workflows (00:03:17:09 - 00:06:39:05) - Instead of repeatedly adding files manually, use save/load commands. - Example workflow for front-end editing: /add templates/* /add developer_guide.md --readonly /save templates_load.txt - To restore the workflow later: /load templates_load.txt - Benefit: Enables rapid switching between different areas of your project. 4️⃣ Understanding Aider's Context Window (00:06:39:05 - 00:09:48:23) - Use /copy_context to extract the full context Aider is using. - Useful for debugging and understanding what information Aider considers. - Example command: /copy_context - Verify whether important files (like developer_guide.md) are included in Aider's context window. 5️⃣ Extracting & Using External Web Data (00:09:48:23 - 00:12:11:09) - Aider's /web command allows real-time web scraping. - Why? Many AI models have outdated training data (cutoff ~2023). - Example use case: Fetching latest API changes from the Llama Index documentation. /web https://llamaindex.ai/docs - Aider will retrieve up-to-date information for more accurate responses. 6️⃣ Optimizing Token Usage & Managing API Costs (00:12:11:09 - 00:14:13:09) - Use /tokens to track API token consumption. - Example output breakdown: Total tokens used: 3,200 Estimated cost: $0.0078 - Recommendation: Regularly check /tokens to avoid unnecessary API costs. 7️⃣ Advanced Configuration: Enabling Auto-Accept Changes (00:14:13:09 - 00:16:12:14) - Modify aider_config.yaml to enable auto-confirmation. - Setting: yes_always: true - Effect: - Automatically approves file additions. - Skips manual confirmation prompts. - Example workflow: /add templates/* /code "Enhance project structure." # Automatically executes - ⚠️ Caution: Ensure you trust Aider's decisions before enabling this! 8️⃣ Undoing Changes & Rollback Strategies (00:16:12:14 - 00:17:01:05) - If Aider makes an unintended change, use /undo: /undo - This rolls back the last modification, using Aider's Git integration. - Useful for quick iterations when testing new prompts. 🚀 Next Steps - Experiment with: - Automating workflows using save/load commands. - Using /web for real-time updates in outdated AI training models. - Optimizing token usage to avoid unnecessary API costs. - Prepare for Lesson 7, where we'll explore large-scale AI-driven development strategies. 📚 Resources - [TandemFlow AI Course Documentation](#) - [GitHub Repository](#) - [Aider Official Documentation](https://aider.chat/docs) - [OpenAI API Pricing](https://openai.com/api/pricing) - [Llama Index Documentation](https://llamaindex.ai/docs) Lesson 6 equips you with powerful automation techniques to streamline AI-assisted development. Master these advanced workflows, and you'll be prepared for more large-scale AI-driven code management in the upcoming lessons. 🚀 See you in Lesson 06! 🚀