# Application Security, Artificial Intelligence, CI/CD, Data Governance, Data Management, Devops, Gene

Published articles for Application Security, Artificial Intelligence, CI/CD, Data Governance, Data Management, Devops, Gene.

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## How to keep AI-generated code aligned with your standards

DevFeed: [How to keep AI-generated code aligned with your standards](<https://devfeed.tech/articles/how-to-keep-ai-generated-code-aligned-with-your-standards-47832.md>)

Original publisher: [Read original article](<https://www.infoworld.com/article/4221724/how-to-keep-ai-generated-code-aligned-with-your-standards.html>)

Author: Isaac Sacolick

Published: 2026-09-16T09:00:00Z

Content type: article

Language: en

Sources: [InfoWorld](<https://devfeed.tech/sources/infoworld.md>)

Topics: [Code](<https://devfeed.tech/topics/code.md>), [Development](<https://devfeed.tech/topics/development.md>), [DevOps](<https://devfeed.tech/topics/devops.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [Vibe coding](<https://devfeed.tech/topics/vibe-coding.md>), [Spec Driven Development](<https://devfeed.tech/topics/spec-driven-development.md>), [Requirements](<https://devfeed.tech/topics/requirements.md>), [Testing](<https://devfeed.tech/topics/testing.md>), [Security](<https://devfeed.tech/topics/security.md>), [data-governance](<https://devfeed.tech/topics/data-governance.md>), [observability](<https://devfeed.tech/topics/observability.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [ai-coding-tools](<https://devfeed.tech/tags/ai-coding-tools.md>), [ai-generated-code](<https://devfeed.tech/tags/ai-generated-code.md>), [application-security](<https://devfeed.tech/tags/application-security.md>), [application-security-artificial-intelligence-ci-cd-data-governance-data-management-devops-gene](<https://devfeed.tech/tags/application-security-artificial-intelligence-ci-cd-data-governance-data-management-devops-gene.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [code](<https://devfeed.tech/tags/code.md>), [data-governance](<https://devfeed.tech/tags/data-governance.md>), [data-management](<https://devfeed.tech/tags/data-management.md>), [devops](<https://devfeed.tech/tags/devops.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [security](<https://devfeed.tech/tags/security.md>), [software-development](<https://devfeed.tech/tags/software-development.md>)

### AI overview

This article examines how organizations can keep AI-generated code aligned with engineering, security, governance, observability, and testing standards. It argues that standards and architectural context must be explicit and available to AI coding tools, with processes to monitor compliance and developers accountable for outcomes.

### Source excerpt

One of the first questions I ask devops organizations is to walk me through their development and operations standards. What are the non-negotiable devops practices? What are the data governance first principles? What observability standards are in place? How is security embedded in devops? This is the starting point. From there, we might review standards on how functional requirements are written. For businesses developing AI agents, I'll ask about their non-functional requirements (NFRs) and how testing is performed. Now that many devops organizations are using AI code generators, vibe coding, and applying spec-driven development practices, the questions increase. How does the AI know your organization's standards? What processes monitor and enforce these standards? What are the developer responsibilities for owning the outcomes? "Generative AI will happily hand you the movie set of an app with looks of a house from the street. The doors and windows open, and the demo runs clean," says Mike Toole, director of security and IT at Blumira. "Behind the facade, there's no plumbing and no wiring: no input validation, no auth boundaries, nothing actually holding it up. If your only gate is 'does it run and look right,' you're shipping a set, not a building." One report shows that 92% of developers use AI coding tools daily in 2026 and that 41% of all global code is now AI-generated. Will all that code deliver value, operational issues, or mounting AI debt? I spoke to several experts about how to keep AI-generated code aligned with organizational standards and how to define an AI code generator's context beyond just functional requirements. Document like a construction specification A general contractor in the construction industry will review building information models that provide a view of what they are developing. But many of the details are in the construction specifications, including component stipulations and performance requirements. Devops teams without equival