Real Agent Cases

Automate defect remediation across C/C++ codebases with Codex CLI

Source date:
Last verified:
Method:
How we verify

Evidence: Company case studyA write-up published by the company that makes the agent or uses it.

Outcome

According to OpenAI's case study, Cisco's Codex CLI defect-repair workflow raised defect resolution throughput 10–15x, and Codex build optimization saved more than 1,500 engineering hours a month.

According to OpenAI:10–15x defect resolution throughput

This is the source's own number. We haven't measured it.

Agent

OpenAI Codex CLI

Prompt Recreated prompt

The source did not publish its exact prompt. This one is our reconstruction from what the source describes.

Reproduce this defect, find the root cause in the codebase, implement a fix, then compile and run the tests, iterating until they pass.

Source

https://openai.com/index/cisco/

By OpenAI · Published May 27, 2026 · Added Oct 15, 2026 · Last verified Oct 15, 2026

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