# How Newfront uses Augment Code

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

- Company: [Newfront](https://www.usedby.ai/companies/newfront.md)
- Tool: [Augment Code](https://www.usedby.ai/tools/augment-code.md)
- Teams: Engineering

## What the story says

Newfront's engineering team uses Augment's context-aware code suggestions across a multi-language codebase (Python, TypeScript, React) for code completion, refactoring, code review, and answering questions about the codebase. It is also used to help onboard new engineers and let engineers and data scientists collaborate on production AI deployments.

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

> Newfront has seen clear improvements in developer efficiency since adopting Augment. Code reviews are faster, and refactoring is more streamlined. With Augment, the team could focus on complex engineering challenges rather than routine tasks.

> We’ve seen improvements in our DORA metrics, particularly around pull request completion speed and code merge times
>
> Joe Luo, Director of Engineering

Source: [augmentcode.com](https://www.augmentcode.com/customers/newfront), 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 Newfront.
- Checked: Newfront 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/newfront-augment-code · How we check: https://www.usedby.ai/methodology