iTerm2 Reviews

1. KateBlanc

   over 2 years ago
   Useful

   I've had so many problems with terminal in my Mac.. thanks for this tool. It's like really useful

   👍 Pros:    Fast|Convenience|Fastest, safest, and cheapest

   👎 Cons:    None

FastAPI Reviews

1. Kurslog team

   · Working at Kurslog · 4 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

iTerm2 mentions (117)

• The Ultimate Guide to a Smooth Dev Environment

  Execute commands using terminals like Windows Terminal, iTerm2, or built-in options on macOS and Linux. Customizing themes, fonts, and shortcuts can optimize your workflow. - Source: dev.to / 4 months ago

• How I Use 4 Terminal Setups with Claude Code Agent Teams

  iTerm2 is the classic macOS terminal. It's stable, feature-rich, and supports Agent Teams split-pane mode (requires it2 CLI installation and enabling the Python API). - Source: dev.to / 4 months ago

• ⛓️‍💥 AI Agents broke my Dev setup

  I had a setup that worked perfectly for me, 3 screens (Actually 2 screen + Macbook Pro) One with IDE (WebStorm, Vscode and from time to time just sublime). Second with Terminal (started with iTerm2 and moved to Warp with Oh My Zsh and bunch of plugins) And last with Browser (Web or DB). - Source: dev.to / 5 months ago

• Perfect Claude Code Notifications Setup with Tailscale and ntfy

  Claude Code comes with a notification hook. Some terminals support it natively (iTerm2, Kitty, Ghostty) but most don’t, and even when they do, it’s a system notification which is easy to miss if you step away. - Source: dev.to / 6 months ago

• Using iTerm2's new AI Chat features with Azure OpenAI

  For the longest time I've used iTerm2 as a replacement for Terminal. It's fast, it's native, it's not yet another lipstick-on-an-Electron-wrapper type of thing. Only Ghostty comes close to it, and even though it's faster and resizes better, it misses some of the features I've grown to depend on. - Source: dev.to / 11 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 / 3 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 / 3 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 / 4 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 / 4 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 / 4 months ago