Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Braintrust.dev
Openlayer
Portkey
EasyCode.ai
AppCode
VS Code
Zed
Coder
Cursor
Codex by OpenAI
Keploy.io
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
EasyCode Flow is a specialized IDE for building web apps with Supabase and NextJS.
It comes with bulit-in backends, interactive debugger and superior context management - helping vibe coders turn ideas to production apps 10x faster.
Use EasyCode Flow for rapid development of web applications with Next.js and Supabase. It is the ideal tool for Vibe Coders who prioritize building and shipping products over manual coding.
EasyCode Flow is not a general-purpose tool; it is a specialized IDE. Its focus on the Next.js and Supabase stack provides deeper integration and a more optimized workflow than any competitor. It eliminates the need for complex configurations by building best practices directly into the environment. This makes it superior to both overly simplistic web builders and overly complex traditional IDEs for its target use case.
Langfuse EasyCode.aiNo EasyCode.ai videos yet. You could help us improve this page by suggesting one.
Based on our record, Langfuse seems to be more popular. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / about 1 month ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ 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 / about 2 months ago
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 / 2 months ago
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 / 2 months ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / 3 months ago
Helicone AI - Open-source LLM Observability for Developers
AppCode - Smart IDE for iOS/OS X development
LangSmith - Build and deploy LLM applications with confidence
VS Code - Build and debug modern web and cloud applications, by Microsoft
LangChain - Framework for building applications with LLMs through composability
Zed - Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
