Codechef
HackerRank
AlgoExpert.io
CodeForces
LeetCode
Coderbyte
Interview Cake
Codewars
Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
CodeChef is a not-for-profit educational initiative started by Directi more than a decade ago. We started with a dream of seeing an Indian team winning a gold medal at the ACM ICPC World Finals. In its quest for the same, CodeChef has built a self-driven community of the world's best programmers. Today more than 1.3 million competitive programmers from 180+ countries learn from CodeChef. CodeChef has been hosting monthly programming contests regularly for 10 years now. Its platform has assessed 92 million+ code submissions to date, and over 30000 organizations are being impacted by CodeCheffers worldwide. It also organizes SnackDown - one of the world's largest global programming competition whose last edition drew participation from 140+ countries. Since 2017, CodeChef has started providing India's only industry-ready certification in Data Structures and Algorithms, and 1800+ programmers have been certified under the same.
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.
Codechef LangfuseBased on our record, Langfuse should be more popular than Codechef. 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.
Have you heard of codeforces.com, atcoder.jp, codechef.com, etc? Source: over 2 years ago
Leetcode is good to learn basic algorithms because problem statements are usually straightforward. Competitive programming has much wider range of problems. Most popular sites for cp are codeforces.com , atcoder.jp, codechef.com . Source: over 2 years ago
Learn Java with hands-on experience. I personally used codingbat.com a lot, but I've heard good things about codechef.com, which appears to even have a competitive option. Source: over 3 years ago
For practicing algorithms, use any of the freely available websites like https://hackerrank.com https://codechef.com https://projecteuler.net A structured set of practice problems are available at https://www.interviewbit.com/courses/programming/ Avoid https://geeksforgeeks.org because it has a ton of material but very poor quality control. Source: almost 4 years ago
These all have sample problems to solve Hackerrank.com edabit.com codewars.com codechef.com and there are tons more. Best of luck to you. I am at about the same level myself. I really like these sites. Source: over 4 years 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 / 2 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 / 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
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Helicone AI - Open-source LLM Observability for Developers
AlgoExpert.io - A better way to prep for tech interviews
LangSmith - Build and deploy LLM applications with confidence
CodeForces - Programming competitions and contests, programming community.
LangChain - Framework for building applications with LLMs through composability