It started with a simple question: 'What if I could bring back Teletext?'
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It started with a simple question: “What if I could bring back Teletext?”
Ayomidotun Ayoku resurrected Teletext using Kiro, an AI coding assistant, in 5 days. The project includes 20+ animations and a time-travel feature to view historical data.
Why This Matters
AI coding assistants are not magic boxes but require precise instructions. The author found that vague prompts led to hours of debugging, while clear documentation and research via MCP servers minimized errors. The cost of ambiguity in AI workflows can scale with project complexity, making structured guidance critical.
Key Insights
- “5-day Teletext revival, 2025”: The project was built in 5 days with 772 passing tests and 6 API integrations.
- “MCP servers over context-switching for research”: Ref MCP and Firecrawl MCP enabled seamless documentation lookup and historical data scraping.
- “Steering docs as cheat codes”: 7 markdown files dictated implementation details, ensuring zero syntax errors in 20+ GSAP animations.
Practical Applications
- Use Case: Time-traveling app with historical data integration (e.g., live news, crypto prices).
- Pitfall: Vague prompts to AI tools lead to syntax errors and debugging overhead.
References:
- https://dev.to/ayomi_ayo/it-started-with-a-simple-question-what-if-i-could-bring-back-teletext-25gm
- https://teletext-reborn.vercel.app/
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