Self-Healing UI: Building Resilient React Apps with Local AI
summary
Builds a Resilient Error Boundary that detects runtime crashes and runs local inference via Chrome’s built‑in LLM (Prompt API, Translate API) to patch props, extract retry semantics from 429/503 responses, and schedule intelligent retries. The demo loads a ~4GB model in Chrome, uses ~9k token context and shows a 63‑token repair round; it streams results, rewrites component state to keep the UI alive, and summarizes the last 20 user actions into a concise root‑cause report sent to backend. Works live in demo though latency is noticeable.
AI-written summary · about
chapters (7)
- 0:00Introduction and motivation
- 4:44Why local AI in the browser
- 9:03Fixing props with local AI
- 12:55Handling rate limits and errors
- 17:48Summarizing user issues
- 21:20Live demo walkthrough
- 28:57Key takeaways and summary
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