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How to govern agentic AI, MCPs, and AI code assistants

AI agents can write, push, and deploy without human review at each step. Learn a practical framework for controlling access, permissions, and audit trails.

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How to govern agentic AI, MCPs, and AI code assistants

86% of engineering leaders worry agentic AI without governance accelerates technical debt. Governance shifts from model choice to permission controls: composite identity linking agent to human, tool approval guardrails, and audit trails for every autonomous action.

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Why AI Coding Agents Need Work Attempts, Leases, and Checkpoints

Leased work attempts (auto-expiring) replace permanent assignments, eliminating agent collisions on shared repos. Multi-agent systems require distributed-systems reliability patterns, not human-team trackers; critical for trusting agents on shared codebases.

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How to govern agentic AI, MCPs, and AI code assistants

Confronto fonti

How to govern agentic AI, MCPs, and AI code assistants

Why AI Coding Agents Need Work Attempts, Leases, and Checkpoints

Timeline cronologica

Why AI Coding Agents Need Work Attempts, Leases, and Checkpoints

What GitHub Copilot's New July 2026 Agentic Review Features Can Teach Beginners About Trust in AI Coding

How to govern agentic AI, MCPs, and AI code assistants

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