# How Zencoder uses Comet Opik

As published on [comet.com](https://www.comet.com/site/customers/zencoder-ai-code-generator/). Captured by usedby on 2026-10-07.

- Company: [Zencoder](https://www.usedby.ai/companies/zencoder.md)
- Tool: [Comet Opik](https://www.usedby.ai/tools/comet-opik.md)
- Industry: [Artificial Intelligence](https://www.usedby.ai/companies/industry/artificial-intelligence.md)
- Teams: engineering, research, customer-facing teams

## What the story says

Zencoder uses Opik to trace and evaluate the outputs of its LLM-based coding agents, debug unexpected model behavior, and compare prompts and models across experiments. The shared workspace lets technical and non-technical colleagues review traces and give feedback.

Summary written by usedby from the source page, in English. The figures are those of Comet Opik and Zencoder, not ours.

> Opik was built to scale and supports the team's high volume of experimentation, as they are currently running thousands of experiments daily.

> LLMs are black boxes. We don’t know what is going on inside them. We needed a solution that allowed us to see how our models behaved, and Opik gives us the ability to understand what went wrong, and share that with the team to debug and iterate faster.
>
> DMITRII KRASNOV, ENGINEERING MANAGER

> If you're not iterating quickly, you're falling behind. Comet's Opik helps us move faster without losing quality.
>
> Dmitrii Krasnov, Engineering Manager at Zencoder

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the passage quoted above is copied word for word from the page, near the name of Zencoder.
- Checked: Zencoder uses Comet Opik. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/zencoder-comet-opik · How we check: https://www.usedby.ai/methodology