Building My Own AI Developer Platform ā Ep 2: AI architecture
ā Runtime tested ā the solution passes every example case. š Full written solution: https://interview-kit-fe.vercel.app/aidevtool-ep2-ai-architecture š» Code on GitHub: https://github.com/timepasshub2539-hue/leetcode-python/tree/main/aidevtool-ep2-ai-architecture Chapters: 0:00 This Architecture Mistake Cost Me a Weekend 0:13 Quick Recap: Where We Left Off 0:25 The Problem: It's Not Just an API Call 0:41 System Overview: The Full Picture 1:05 Building the Backend Skeleton 1:19 Frontend: Checking the Backend Is Alive 1:36 Tracing One Request End to End 1:48 What's Coming: The Agent Loop 2:08 The Complete Backend, Today 2:20 Context Without Blowing the Window 2:34 Why This Split, Not a Simpler Chain 2:54 When a Tool Call Fails 3:06 Next Episode: The Actual Agent 3:19 Today in One Sentence Watch next: - Smallest Palindromic Rearrangement II ā š” Intermediate (2/3) ā LeetCode Daily Python Solution (stop building the whole string): https://youtu.be/AX8_qJPNXpA - Building Your Own Mistakes #shorts: https://youtu.be/WFIvzDKhbWI - Mutate A List Mid-Loop? You'll Skip An Item #shorts: https://youtu.be/upX6Tr0r07Y
The solution
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
app = FastAPI(title="AI Channel Co-Pilot")
app.add_middleware(
CORSMiddleware,
allow_origins=["http://localhost:5173"],
allow_methods=["*"],
allow_headers=["*"],
)
@app.get("/api/health")
def health():
return {"status": "ok", "service": "ai-channel-copilot-backend"}
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