In this video, I walk you through the latest updates on the BionicChaos website and dive into the development of MyoScope — a browser-based signal analysis tool. I explain how AI tools like ChatGPT and Claude help (and sometimes hinder) our dev process, how we structure and test code, and the challenges of styling, optimizing for mobile, and integrating CSS and JavaScript effectively.
You’ll get a real behind-the-scenes look at how we debug and collaborate with AI to move faster, sometimes hilariously hitting walls with hallucinated code! We also cover the philosophy behind “single shot” development and how tools like MyoScope are shaping our approach.
If you’re into AI-assisted development, HTML/JS/CSS debugging, and real-world build logs, you’re going to find this one valuable.
Try the tool here:
Let me know in the comments if you’ve tested the search features or played with any of the deployed tools — we’re always improving based on your feedback!
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#AIdevelopment #MyoScope #WebDevelopment #ChatGPT #ClaudeAI #BionicChaos #CodeDebugging #JavaScript #PythonAutomation #VanillaJS #SingleShotDevelopment
0:00 Introduction to BionicChaos and new features
0:11 Overview of search, filters, and featured sections
0:20 Testing website functionality using Python scripts
0:33 How AI tools guide development tasks
0:47 Reviewing MyoScope and its HTML structure
1:01 Features of MyoScope: baseline noise and recording
1:19 Suggested improvements: auto-start recording
1:28 Comparing results from Claude, Gemini, and GPT-4
1:39 Using canvas and correcting color palettes
1:51 Speech transcription and styling improvements
2:01 Generating separate CSS files
2:13 Cleaning up inline styles from HTML
2:22 File size limits and AI model handling
2:33 Should we split CSS and JS into separate files?
2:42 Trying Claude for structured project setup
2:53 Reviewing the existing styling and layout
3:02 Adjusting HTML to use global styles
3:17 Manual edits and development pain points
3:35 Styling bugs and new chat setup
3:48 Moving toward “single shot” development
3:57 Writing dev briefs for vanilla web stack
4:12 Brief format and assumptions
4:29 Structuring per-file prompts for AI
4:40 React defaults and prompt handling
4:48 CSS first, then HTML review
4:59 Reviewing HTML quality and mobile responsiveness
5:10 JSON settings and JS next steps
5:19 Testing without reading generated code
5:25 JavaScript review and issues
5:34 Delays and performance problems
5:45 Comparing current vs AI-generated versions
5:57 Auto-scaling and layout problems
6:13 Tool comparison: Claude vs ChatGPT
6:21 Phone display issues and layout testing
6:33 Frustrations with React defaults and Claude
6:48 Clarifying dev briefs and expectations
7:05 Refining the improvement process
7:15 Writing chat-based briefs with no code
7:23 Evaluating Claude’s coding accuracy
7:32 Code quality benchmarks and performance
7:45 Debating Claude vs GPT-4
7:52 Final thoughts on dev tool preferences
8:02 Code hallucinations and missing logic
8:10 Restoring JavaScript and code loss
8:24 Script issues and debugging headaches
8:31 Considering other models like DeepSeek
8:41 Implementation vs benchmarks discussion
8:51 Script bloat and code truncation
8:59 Deployment timeline and preview
9:06 Site already available but not finalized
9:16 Search features and functionality updates
9:24 Inviting user feedback on search
9:37 If you see no results: try other filters
9:50 Filter and search combo tips
9:59 Chatbot feature in development
10:03 Closing thoughts and see you next time
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