Langfuse Reviews

StackBlitz Reviews

1. Guest

   over 4 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 mentions (28)

• 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 / about 18 hours ago

• Best AI Monitoring Tools in 2026: LLM, Agent, and MCP Observability Compared

  Langfuse is the open-source standard for LLM observability. It traces every LLM interaction — prompts, completions, latency, token usage, cost — and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / 19 days ago

• What is an LLM evaluation harness? A deep dive into lm-eval-harness

  You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / 30 days ago

• How to track LLM costs per customer in production

  Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / about 1 month ago

• Per-user cost attribution for your AI APP

  Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline — the metadata.userId pattern is the universal part. - Source: dev.to / about 1 month ago

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 / 5 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 / 8 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 / 8 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 / about 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