Tag feed

#fastapi

764 posts309 followers

Explore Hashnode

Alternatives

Trending tags this week

MBMadhav Bhasinblog.madhav.dev1d ago · 4 min read

Building AI-Powered Backend Services: Why Most Integrations Break in Production

The integration looked solid. In testing, the AI-powered document extraction service worked exactly as designed — pull a PDF, send it to the model, parse the structured output, write to the database.

0

DDDharany Dharandharany.hashnode.dev3d ago · 10 min read

Siren-AI: Building an Acoustic Emergency Green Corridor, End to End

A technical deep-dive into the architecture, real datasets, and real bugs behind our SmartAIthon 2026 Grand Final project. Our slide deck says "Siren-AI clears traffic signals ahead of ambulances usin

0

MBMadhav Bhasinblog.madhav.dev4d ago · 6 min read

How I Structure a FastAPI Project for a Team of 5

The first FastAPI project I led for a team had everything in two files. main.py with the routes. models.py with the Pydantic schemas. It worked fine until a second engineer joined and we started stepp

0

JJuanjojosejux.hashnode.devAug 15 · 3 min read

Building an Enterprise-Grade Web Metadata & Contact Extractor API (<200ms) with Python, FastAPI & C-Lexbor

Hello DEV Community! 👋 When building link preview cards (like WhatsApp or Slack), public contact-discovery pipelines, or web scrapers for AI/LLM RAG agents, fetching webpage metadata reliably and fas

2

O

KGKunal Guptakunalforked.hashnode.devAug 10 · 5 min read

I Made My API MCP-Ready Without Writing a Single Tool by Hand

OpenAPI already knew everything my MCP tools needed. I just had to ask nicely. Nothing groundbreaking here, honestly a pretty simple logic once you see it. But it saved me a bunch of manual work, so f

4

SYN

WSWappnet Systemswappnetsystems.hashnode.devAug 10 · 12 min read

Django vs FastAPI in 2026: Which Python Framework Is Better for SaaS and AI Applications?

Every Python-based SaaS or AI product eventually forces the same architecture decision: Django or FastAPI. Both are mature, well-documented, and used in production at scale, but they're built around d

0

PBPankaj Batrapankajbatra.hashnode.devAug 9 · 13 min read

I Deployed a Full RAG Backend for ₹0/Month — Here Are the 3 Walls I Hit

I just shipped the backend for YouTube RAG Chat: paste a YouTube link, chat with the video, and get AI-generated summaries, study notes, and quizzes — every answer grounded with clickable timestamp ci

0

AAAseem Aggawralaseemtech.hashnode.devAug 6 · 19 min read

09 - Provider Abstraction: Ollama, OpenAI, Model Registry, and Inference Router

📌 GitHub Repository: AI Engineer Foundation In the previous blog, I explained the full AI request pipeline. Now I want to zoom into one specific part of that pipeline: provider abstraction -> model r

0

AAkashakashbuilds.hashnode.devAug 5 · 13 min read

Building an AI Startup Validator with Next.js and FastAPI

From Idea to Validation: Building an AI Startup Validator with Next.js, FastAPI and Azure OpenAI Validating a startup idea is hard. You need to understand the market, identify competitors, estimate re

0

AAAditya Agrawaladityagrawal45.hashnode.devAug 5 · 13 min read

Myth: RAG Makes LLMs Accurate. Fact: It Depends.

The hook Three weeks after we shipped our RAG-based supplier support chatbot, a supplier asked it a straightforward question about payment terms. The bot answered confidently. The answer was wrong. No

1

K

#fastapi

Search Hashnode

#fastapi

Explore Hashnode

Trending tags this week

Building AI-Powered Backend Services: Why Most Integrations Break in Production

Siren-AI: Building an Acoustic Emergency Green Corridor, End to End

How I Structure a FastAPI Project for a Team of 5

Building an Enterprise-Grade Web Metadata & Contact Extractor API (<200ms) with Python, FastAPI & C-Lexbor

I Made My API MCP-Ready Without Writing a Single Tool by Hand

Django vs FastAPI in 2026: Which Python Framework Is Better for SaaS and AI Applications?

I Deployed a Full RAG Backend for ₹0/Month — Here Are the 3 Walls I Hit

09 - Provider Abstraction: Ollama, OpenAI, Model Registry, and Inference Router

Building an AI Startup Validator with Next.js and FastAPI

Myth: RAG Makes LLMs Accurate. Fact: It Depends.