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title: How to govern agentic AI, MCPs, and AI code assistants
description: Agentic AI breaks the human-in-the-loop model of traditional code completion by enabling agents to write, push, and deploy changes autonomously. This creates...
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og:description: Agentic AI breaks the human-in-the-loop model of traditional code completion by enabling agents to write, push, and deploy changes autonomously. This creates...
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# How to govern agentic AI, MCPs, and AI code assistants

**[GitLab](https://daily.dev/sources/gitlab)** · 10 min read · 0 upvotes · 0 comments

## Summary

Agentic AI breaks the human-in-the-loop model of traditional code completion by enabling agents to write, push, and deploy changes autonomously. This creates new governance challenges around identity, permissions, and auditability. A practical framework is outlined covering: defining what agents are allowed to do via role-based permissions and tool approval guardrails, handling data residency concerns (including self-hosting and bring-your-own-model options), establishing human review checkpoints for code review, testing, and deployment, and tracking five key metrics — adoption, acceptance/quality, risk, remediation, and ROI — together to avoid hidden risk accumulation. A checklist for teams standardizing on GitLab Duo Agent Platform is also provided, emphasizing that governance must be built into the platform rather than added afterward.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://about.gitlab.com/blog/govern-agentic-ai-mcps-code-assistants>

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---

Tags: [#mcp](https://daily.dev/tags/mcp), [#gitlab](https://daily.dev/tags/gitlab), [#devsecops](https://daily.dev/tags/devsecops), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#ai-governance](https://daily.dev/tags/ai-governance)

[View this post on daily.dev](https://daily.dev/posts/how-to-govern-agentic-ai-mcps-and-ai-code-assistants-htfalfimb)

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