StackBlitz Reviews

1. Guest

   almost 5 years ago
   Has almost everything I need

   I've started using this as my main IDE for new projects when I'm trying things out. If it keeps getting better at the rate it has been, it'll be even better than coding locally.

   Competitors: replit

   Pros:    Easy to get started and operate|Fast|Supports common extensions|Works with most npm packages

   Cons:    Still not as good as local development|Can be hard to debug|Build times can be slower than local

Langfuse Reviews

StackBlitz mentions (112)

• RS-X: Framework-agnostic reactive state and expressions for JavaScript/TS

  Managing reactive state and dependent computations in JavaScript can get complex, especially when combining asynchronous and synchronous data. RS-X is a library that allows you to bind expressions to plain objects and makes the parts of the model used by those expressions fully reactive. Dependent computations automatically update when the underlying data changes. RS-X is framework-agnostic. While it can drive UI... - Source: Hacker News / 7 months ago

• Show HN: I combine Htmx, LiveView and SolidJS for interactive server components

  I like htmx, LiveView, React and Solid. They are great at different points, so I try to combine them in Solv (Stateless Offline-capable LiveView) and write a prototype to show the benefits. Solv's main idea is that stateless servers keep client's state in a volatile cache. It enables server components that are also interactive, which is best of both worlds between LiveView and htmx. Then fine-grained reactivity is... - Source: Hacker News / 10 months ago

• Show HN: Solv – Stateless Offline-Capable LiveView – Prototype 03

  I like htmx, LiveView, React and Solid. They are great at different points, and this is a prototype trying to combine them. Solv's main idea is that stateless servers keep client's state in a volatile cache. It enables server components that are also interactive, which is best of both worlds between LiveView and htmx. Then fine-grained reactivity is added to achieve efficient DOM updates + minimal payload size.... - Source: Hacker News / 10 months ago

• AutoView - turning your blueprint into UI components (AI Code Generator)

  In the code editor tab (powered by StackBlitz), navigate to the env.ts file and enter your OpenAI key. Run npm run generate in the terminal to see how @autoview generates TypeScript frontend code from example schemas derived from both TypeScript types and OpenAPI documents. - Source: dev.to / over 1 year ago

• 22 Unique Developer Resources You Should Explore

  URL: https://stackblitz.com What it does: An online IDE for coding, previewing, and deploying web apps instantly. Why it's great: Rapidly spin up projects without local setups — great for experimentation. - Source: dev.to / over 1 year ago

Langfuse mentions (32)

• How to change an LLM prompt in production without a code deploy

  Langfuse is the other serious option in this category if you also want observability, evals and traces bundled with prompt management. Different scope, more setup, worth comparing honestly. - Source: dev.to / 1 day ago

• Should Your Prompt Store Pick Your Model

  Langfuse with Microsoft.Extensions.AI has an appealing story: update prompts without redeploying. A prompt fetches its config blob—model, tokens, temperature—which the code passes straight to the LLM. - Source: dev.to / 5 days ago

• The Observability Crisis: Why OTel Alone Fails for AI and How to Build a Resilient Pipeline

  Langfuse is not a replacement for OpenTelemetry; it is a specialization layer built on top of it. Langfuse was engineered specifically for the unique telemetry needs of LLM applications. It acts as the semantic layer that OTel lacks. - Source: dev.to / 10 days ago

• Your AI Agent Works in Dev. It Will Fail in Production. Here's the Math.

  Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 22 days ago

• Strands Agents + Langfuse Evaluations

  In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse — step by step. - Source: dev.to / 2 months ago