Langfuse
Helicone AI
LangSmith
LangChain
Braintrust.dev
Openlayer
Portkey
LastMile AI
CloudApper AI DevAgent
Devin by Cognition
Bubble.io
Appian
OutSystems Platform
Mendix
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.
CloudApper AI DevAgentโข: Your 24/7 Development Teammate CloudApper AI DevAgentโข revolutionizes software development by serving as your tireless AI-powered development partner that works 24/7, 365 days a year. This isn't about replacing developersโit's about supercharging them with AI efficiency that transforms how teams build, scale, and deliver software. The Perfect Human + AI Partnership AI DevAgent eliminates the endless cycle of hiring challenges and slow development cycles. By handling repetitive coding tasks, automating workflows, and accelerating project delivery it allows human developers to focus on high-level problem-solving, creativity, and strategic innovation. A 10-member team can operate with the efficiency of 50 developers. No Full-Stack Expertise Required You don't need front-end, back-end, or integration specialists anymore. AI DevAgent handles the entire development lifecycleโbuilding web and mobile apps, seamlessly connecting tools, automating workflows, and modernizing legacy systems. Just communicate your needs, and let the AI execute with precision. Maximize Efficiency, Minimize Costs Projects that typically take weeks or months are now delivered in days. AI DevAgent boosts productivity without increasing headcount, reduces AWS/Azure cloud hosting costs by 75%, and eliminates the complexity of hiring and retaining specialized developers. Always-On Performance Founded on human-centric design principles, AI DevAgent continuously monitors data, refines performance, and eliminates bottlenecks. It ensures accuracy through automation, minimizing errors and debugging delays that plague traditional development. Scale Effortlessly Whether you're rapid prototyping, developing specialized mobile apps, or upgrading legacy systems, AI DevAgent acts as a force multiplier, giving your existing team superhuman efficiency without the overhead of expanding headcount. Transform your development process with the perfect blend of human expertise and AI power.
Langfuse CloudApper AI DevAgentNo CloudApper AI DevAgent 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 / 20 days 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 1 month 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 / about 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 / about 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 / 2 months ago
Helicone AI - Open-source LLM Observability for Developers
Devin by Cognition - The first AI software engineer
LangSmith - Build and deploy LLM applications with confidence
Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
LangChain - Framework for building applications with LLMs through composability
Appian - See how Appian, leading provider of modern low-code and BPM software solutions, has helped transform the businesses of over 3.5 million users worldwide.
