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Redesign how your team ships software with AI agents

GitLab announced the AI-Native Engineering Playbook, a guide to redesigning software delivery so people and AI agents each handle the work they suit best. The playbook proposes a four-stage autonomy ladder in which each step up must be backed by evidence, and a layered verification approach for code review at agent volume. GitLab's AI Accountability Report, based on an April 2026 survey of 1,528 DevSecOps professionals, is cited, with 79% saying individual productivity improved but overall delivery did not accelerate at the same pace.

What changes for platform teams

Platform teams can use the playbook's layered checks as a model: move formatting, type and dependency policy checks closer to authoring, keep change sets small, and record agentic review decisions so they can be inspected later. The post does not describe any new platform feature or tooling change.

Read the original at GitLab Blog ↗

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The summary was written from the original by the model named above, checked by fixed publishing rules, and read by an editor after publication. See the methodology.

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