The Helicone Blog
Thoughts about the future of AI - from the team helping to build it.
A Guide for Datadog Users Building with LLM's
Datadog has long been a favourite among developers for monitoring and observability. But recently, LLM developers have been exploring new options. Why? We have some answers.
Lina Lam
A LangSmith Alternative that Takes LLM Observability to the Next Level
Both Helicone and LangSmith are capable, powerful DevOps platform used by enterprises and developers building LLM applications. But which is better?
Lina Lam
Why Observability is the key to ethical and safe Artificial Intelligence
As AI continues to shape our world, the need for ethical practices and robust observability has never been greater. Learn how Helicone is rising to the challenge.
Scott Nguyen
Introducing Vault: The Future of Secure and Simplified Provider API Key Management
Helicone's Vault revolutionizes the way businesses handle, distribute, and monitor their provider API keys, with a focus on simplicity, security, and flexibility.
Cole Gottdank
Life after Y Combinator: Three Key Lessons for Startups
From maintaining crucial relationships to keeping a razor-sharp focus, here's how to sustain your momentum after the YC batch ends.
Scott Nguyen
Helicone: The Next Evolution in OpenAI Monitoring and Optimization
Learn how Helicone provides unmatched insights into your OpenAI usage, allowing you to monitor, optimize, and take control like never before.
Scott Nguyen
Helicone partners with AutoGPT
Helicone is excited to announce a partnership with AutoGPT, the leader in agent development.
Justin Torre
Generative AI with Helicone
In the rapidly evolving world of generative AI, companies face the exciting challenge of building innovative solutions while effectively managing costs, result quality, and latency. Enter Helicone, an open-source observability platform specifically designed for these cutting-edge endeavors.
George Bailey
(a16z) Emerging Architectures for LLM Applications
Large language models are a powerful new primitive for building software. But since they are so new—and behave so differently from normal computing resources—it’s not always obvious how to use them.
Matt Bornstein
Rajko Radovanovic
(Sequoia) The New Language Model Stack
How companies are bringing AI applications to life
Michelle Fradin
Lauren Reeder