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Let a coding agent write most new features and fix defects 10x faster

Cisco rolled out OpenAI Codex across engineering and reports it wrote over 95% of the new features in its AI Defense product. Defect-fix throughput rose 10-15x, and the company says it saves more than 1,500 engineering hours a month.

OpenAI Codex One public report
52
Proof
18/40
Payoff
25/25
Ease
7/20
Cost
2/15
How the score works
Difficulty
Builder
Setup time
1 hr
Monthly cost
$200/mo
What it saves
1,500+ eng hours per month

How to do it

  1. Start with a backlog of well-described bugs from your static analysis tools
  2. Run the Codex CLI on each defect with the repo and the failing check
  3. Have engineers review and merge the fixes
  4. Expand to cross-repo work, such as build speedups and framework migrations
  5. Track hours saved and defects closed per week

The prompt

Here is a static analysis finding: <paste finding>. Find the root cause in this C++ codebase, not just the reported line. Propose the smallest safe fix, apply it, build the project, and run the related unit tests. Summarize the cause, the fix and any other places with the same pattern.

Where this comes from

One person reported it. Promising, not yet confirmed. Original report: OpenAI.

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