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Based on our record, Coderbyte should be more popular than Helicone AI. It has been mentiond 13 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.
Helicone takes the simplest possible approach to LLM monitoring: it's a proxy. Change your OpenAI base URL from api.openai.com to oai.helicone.ai, add your Helicone API key as a header, and every LLM request is logged โ latency, tokens, cost, prompts, and completions. No SDK integration, no code changes beyond a URL swap. - Source: dev.to / 21 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
For many teams, especially those starting out or with simpler needs, commercial solutions like Portkey, Helicone, OpenPipe, or LiteLLM Proxy offer off-the-shelf capabilities that cover many common proxy use cases (caching, logging, cost tracking). NeuroLink itself can be seen as an SDK that complements these, allowing you to integrate with them or build similar features on top. - Source: dev.to / 3 months ago
TL;DR: Go with Langfuse if you want open-source and self-hosted. Pick Helicone if you want the fastest setup (2 minutes, no SDK). Stick with LangSmith if your stack already runs on LangChain. And if your org already pays for Datadog, their LLM module slots right in. - Source: dev.to / 4 months ago
Hey HN, we're Justin and Cole, the founders of Helicone (https://helicone.ai) or self-deploy with our new fully open-source helm chart (https://helicone.ai/selfhost). Yet even with detailed traces, probabilistic systems are notoriously hard to debug at scale. So, we released evaluators (either via LLM-as-judge or custom Python evaluators leveraging the CodeSandbox SDK - https://codesandbox.io/docs/sdk/sandboxes).... - Source: Hacker News / over 1 year ago
The resources others have shared here are great. Doing coding challenges can also be helpful (I find it helpful, anyway). Something like CoderByte might be useful. Source: over 3 years ago
Technical Assessments & Interviews FOR DEVELOPERS Improve your coding skills. The industryโs #1 website for technical interview prep, coding challenges, and expert videos. Try a free challenge โ or Learn more FOR ORGANIZATIONS Interview and evaluate candidates. The industryโs #1 code assessment platform for assessments, live interviews, and take-home projects. Learn more โ Https://coderbyte.com/. - Source: dev.to / over 3 years ago
Https://coderbyte.com has a free course on DSA. Source: over 3 years ago
Coderbyte - Programming challenges and specific routes to help learn specific skills. - Source: dev.to / over 4 years ago
โข https://coderbyte.com => Some of the courses and challenges on Coderbyte are free.(practice programming and improve your coding skills). Source: over 4 years ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
LangSmith - Build and deploy LLM applications with confidence
LeetCode - Practice and level up your development skills and prepare for technical interviews.
Portkey - Build production-grade & reliable AI apps with Portkey
CodeSignal - CodeSignal is the leading assessment platform for technical hiring.