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DSDevi Sri Ramasamydevisriblogs.hashnode.dev2h ago · 5 min read

Chargeback Assistant: An AI-Powered Chargeback Risk System

Chargebacks are a common problem for online businesses. When a customer disputes a payment, the merchant needs to decide whether to fight the dispute, accept the loss, or collect more evidence. To sol

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MBMahad Baigmahadbaig.hashnode.dev1d ago · 12 min read

I Built the Boring Part of My AI Portfolio. That Is Where It Got Interesting.

Building an AI-Native Portfolio, Part 2 Series note: This is not a daily or weekly build log. I will publish an update when the project reaches a meaningful milestone, produces something measurable, o

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FIFilestack Insightsideradevtools.hashnode.dev1d ago · 8 min read

FastAPI Upload File with Multipart Handling and Streaming to Storage

A simple FastAPI endpoint using file: bytes works fine for small demos. But try uploading a 2 GB video, and things can go wrong quickly. If your container only has 512 MB of memory, loading the whole

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MBMadhav Bhasinblog.madhav.dev4d ago · 7 min read

Structuring OpenAI and Gemini Calls in FastAPI: Prompts, Fallbacks, and Retries

The fallback was supposed to be temporary. When the OpenAI API was unavailable, the service would return the last cached result for that user rather than failing the request. Clean degraded experience

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MAMuhammad Ariel Shakaramiroshaka-ai.hashnode.dev4d ago · 7 min read

Word Embedding & Sentiment Analysis with LSTM

In the previous RNN post, I mentioned word embeddings would get their own post. Here it is — paired with a real use case: predicting whether a movie review is positive or negative, from scratch all th

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AAAhmed Adawyadawy.hashnode.devSep 4 · 6 min read

Why Your Async Python Services Crash Under AI Load (And How to Build a Real Production Inference Pipeline)

When a software engineer builds a prototype for an AI microservice using FastAPI, asyncio, and PyTorch or Hugging Face, everything runs smoothly on a local environment. But as soon as the service hits

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SHSanskriti Harmukhvultr.hashnode.devSep 3 · 5 min read

Deploying a FastAPI Application with Gunicorn and Nginx on Ubuntu 24.04

FastAPI is a modern Python web framework for building high-performance APIs and web applications. It supports asynchronous programming with async/await for handling many simultaneous client connection

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NNevin-Balinevinbali.hashnode.devSep 3 · 6 min read

Building DevDocAI — A Production Multi-Agent LangGraph System | Part 4 — Coming Back, Closing Out the Backend, and Laying Down the Frontend

Series: Building DevDocAI — A Production Multi-Agent LangGraph System Part 4 — Coming Back, Closing Out the Backend, and Laying Down the Frontend Recap — Where Things Stood By the end of Part 3, D

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YSYatharth Sharmayatharthsharma.hashnode.devSep 3 · 2 min read

Debrief is not a PDF chatbot — it recovers decisions with citations

Teams rarely lose information because they lack documents. They lose it because decisions, rationale, owners, risks, and dates are buried across notes, launch plans, and transcripts. I built Debrief f

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BABetini Akarandutbetiniakarandut.hashnode.devSep 2 · 23 min read

Building Offline-First Systems for Low-Connectivity Environments: Architecture Lessons from Nigerian Agritech

A note on the architecture This article describes lessons from a production agricultural technology platform. Some implementation details, operational parameters, identifiers, and business-specific lo

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#fastapi

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Trending tags this week

Chargeback Assistant: An AI-Powered Chargeback Risk System

I Built the Boring Part of My AI Portfolio. That Is Where It Got Interesting.

FastAPI Upload File with Multipart Handling and Streaming to Storage

Structuring OpenAI and Gemini Calls in FastAPI: Prompts, Fallbacks, and Retries

Word Embedding & Sentiment Analysis with LSTM

Why Your Async Python Services Crash Under AI Load (And How to Build a Real Production Inference Pipeline)

Deploying a FastAPI Application with Gunicorn and Nginx on Ubuntu 24.04

Building DevDocAI — A Production Multi-Agent LangGraph System | Part 4 — Coming Back, Closing Out the Backend, and Laying Down the Frontend

Debrief is not a PDF chatbot — it recovers decisions with citations

Building Offline-First Systems for Low-Connectivity Environments: Architecture Lessons from Nigerian Agritech