Gemini Reviews

FastAPI Reviews

1. Kurslog team

   · Working at Kurslog · 3 months ago

   When our backend team needs to build services for data parsing, aggregators, or high-load APIs, FastAPI is our absolute go-to choice. It completely lives up to its name-development speed is outstanding.

   The combination of Pydantic for data validation and built-in async support keeps our shared codebase clean, strictly typed, and reliable. But the biggest highlight for our cross-functional team is the automatic generation of interactive OpenAPI (Swagger) documentation. Our frontend and mobile developers no longer have to wait for backend engineers to manually update API docs; everything stays perfectly in sync automatically. It has drastically improved our team's communication and delivery speed.

   🏁 Competitors: Django, Flask, ExpressJS, Nest.js, Spring Boot

   👍 Pros:    Blazing fast performance (on par with nodejs and go)|Native asynchronous support out of the box|Automatic, interactive documentation generation (swagger/redoc)|Strict typing and data validation with pydantic

   👎 Cons:    Smaller plug-and-play ecosystem compared to older frameworks like django|Requires our architects to design the project structure and directory layout from scratch

Gemini mentions (191)

• What Active Rubyists Are Using in 2026: A Maintainer's Read of the RubyKaigi Survey

  Amazon Q Developer / Cline / Roo Code / Gemini / other: a few each. - Source: dev.to / about 1 month ago

• How to Automate the ChatGPT & Gemini Web UIs Without an API Key

  Driver = uc.Chrome(options=options) Driver.get("https://gemini.google.com") Input("Log into the browser window, then press Enter here to finish setup.") Driver.quit(). - Source: dev.to / 12 days ago

• include-tidy: A Tool to Enforce Include-What-You-Use

  What helped a lot was using AI (strictly speaking, an LLM), specifically Google’s Gemini (because I’m too cheap to pay for Claude, especially for a personal project that I have no intention of making any money from). While I may write a follow-up blog post describing my experience, I’ll state briefly that AI saved me from having to read a lot of the documentation, read the tutorials, post questions to a mailing... - Source: dev.to / about 2 months ago

• What is Gemini 3.5 Flash? Google's New Fast Frontier Model Explained

  Go to gemini.google.com, select 3.5 Flash from the model selector, and test prompts manually. - Source: dev.to / about 2 months ago

• Check Your Fucking Sources, People

  Ah! I finally got you somewhat replicated! It's https://gemini.google.com , when you use the free model. Yeah, that's not even wrong! Don't know what to say. It didn't execute the prompt correctly at all. * https://gemini.google.com/share/6bd33176b27c. - Source: Hacker News / about 2 months ago

FastAPI mentions (311)

• Shipping Sovereign SDK: Cryptographic Forensic Receipts and the End of the AI "Prose Tax"

  The Sovereign SDK is a Python-native framework designed to minimize prose overhead while generating ironclad, cryptographic execution receipts for AI agents, complete with drop-in FastAPI/Starlette ASGI middleware. - Source: dev.to / about 2 months ago

• 5-Minute AI Jobs and Closed Tabs — Why We Built Replay-Then-Tail SSE

  We had a feature in production where a single user request could run for five-plus minutes — fetch documents, chunk them, hit an LLM per chunk, synthesize a final answer. We did the obvious thing first: a FastAPI handler that ran the pipeline and streamed progress back to the browser over Server-Sent Events. - Source: dev.to / 2 months ago

• FastAPI With LangChain and MongoDB

  FastAPI is a Python framework for building APIs quickly, efficiently, and with very little code. - Source: dev.to / 3 months ago

• I Built A " CrowdSense AI " : A Scalable, Context-Aware Platform for Smart Stadiums

  Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / 3 months ago

• Async PyMongo in FastAPI

  FastAPI is a high-performance web framework that is production-ready and designed for building APIs in python, with roots embedded in asynchronous programming. It embraces Python’s asyncio model as its core principle rather than treating it as optional. This design choice gives FastAPI leverage for I/O bound workloads such as db access, external API calls and real-time data streaming. - Source: dev.to / 3 months ago