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United StatesTechnology and telecom2023 – ongoing

Qualtrics

Cody for unit tests and code understanding

Qualtrics engineers reported 25% faster code understanding with Cody

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Problem

Qualtrics wanted to improve developer productivity while protecting proprietary code. Writing tests and understanding existing code consumed engineering time.

Approach

Its developer-experience team evaluated AI coding assistants in summer 2023 and selected Cody. The tool worked with its self-hosted GitLab setup and offered a choice of language models. Engineers used it to explain code and generate tests.

Results

25%faster code understanding reported by engineers, per SourcegraphVendor case study[1]
roughly 10 minutesreported unit-test writing time, previously a full day, per SourcegraphVendor case study[1]

Takeaway

Compatibility with the existing code-hosting environment helped the rollout. The productivity figures came from engineer reports.

Categories

Business function
IT and R&D
Innovation type
Process innovation
AI technology
Generative AI
Evidence
Vendor case study

Sources

Source summaries

[1]Sourcegraph2024

Sourcegraph described Qualtrics' evaluation and deployment of Cody. Engineers reported 25% faster code understanding and unit-test writing falling from a full day to roughly 10 minutes.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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