
CodeForces
LeetCode
Codechef
AlgoExpert.io
Project Euler
Interview Cake
interviewing.io
CodingInterview
Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
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.
CodeForces
LangfuseBased on our record, CodeForces should be more popular than Langfuse. It has been mentiond 82 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.
Your preparation should not be random. Platforms like LeetCode, Codeforces, and GeeksforGeeks are toolsโbut what matters is how you use them. - Source: dev.to / 2 months ago
Most people who do competitive programming have moved to: . - Source: Hacker News / 6 months ago
At first, the problems on platforms like Codeforces felt overwhelming. But after a few rounds, I realized something important:. - Source: dev.to / 10 months ago
Check it out and start competing today: https://codeforces.com/. - Source: dev.to / 10 months ago
The researchers created their dataset from CodeContests and public Codeforces solutions, enriched with metadata. For supervised fine-tuning, they structured the data as prompt-completion pairs, using problem statements as prompts and solutions as completions. The balanced dataset contained 1.2 million samples, each averaging 1,500 tokens. - Source: dev.to / about 1 year ago
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 / 1 day 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 / 20 days 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 1 month 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 1 month 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 / about 1 month ago
LeetCode - Practice and level up your development skills and prepare for technical interviews.
Helicone AI - Open-source LLM Observability for Developers
Codechef - CodeChef is a not-for-profit educational initiative by Directi, an Indian software company. It is a global programming community that fosters learning and friendly competition, built on top of the worldโs largest competitive programming platform.
LangSmith - Build and deploy LLM applications with confidence
AlgoExpert.io - A better way to prep for tech interviews
LangChain - Framework for building applications with LLMs through composability