# How MongoDB uses Augment Code

As published on [augmentcode.com](https://www.augmentcode.com/customers/mongodb-scaling-with-AI). Captured by usedby on 2026-10-09.

- Company: [MongoDB](https://www.usedby.ai/companies/mongodb.md)
- Tool: [Augment Code](https://www.usedby.ai/tools/augment-code.md)
- Industry: [Data & Analytics](https://www.usedby.ai/companies/industry/data-analytics.md)
- Teams: Atlas API Platform team

## What the story says

MongoDB's Atlas API Platform team uses Augment Code's CLI, IDE integrations and MCP connections to build specialized agents that validate architecture designs, analyze CI/CD performance logs, and query API standards dynamically. The goal is to enforce API quality and guidelines without slowing delivery.

Summary written by usedby from the source page, in English. The figures are those of Augment Code and MongoDB, not ours.

> Performance analysis agent Processes CI/CD logs (often hundreds of MBs) to identify anomalies and regression causes overnight, accelerating debugging cycles.

> The biggest productivity gain wasn't in writing code faster — it was in reducing the back-and-forth
>
> Wojciech Trocki, Engineer working on MongoDB Atlas API Platform team

Source: [augmentcode.com](https://www.augmentcode.com/customers/mongodb-scaling-with-AI), captured 2026-10-09.

## What usedby checked

We compared the story with its live page on 2026-10-09.

- Checked: the passage quoted above is copied word for word from the page, near the name of MongoDB.
- Checked: MongoDB uses Augment Code. Confirmed line. Latest check across sources: 2026-10-09.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/mongodb-augment-code · How we check: https://www.usedby.ai/methodology