Why AI Coding Agents Keep Stalling Before Production and the Governance Controls That Fix It
TechRadar Pro, Monday, July 13th, 2026
Coder CEO Rob Whiteley argues AI agents stall short of production due to missing governance, not model quality.
Across 100 engineering organizations, 61% already run AI agents, yet few trust them in production because rogue agents can leak credentials, hit unauthorized repositories or burn cloud budget with no audit trail.
The author argues the fix is governance, using controls long applied to human engineers: least privilege, audit logging, identity management and scoped access. He recommends three steps: isolate agents in ephemeral workspaces with zero outbound access and allowlisted MCP tool calls; scope permissions to task-specific API keys with monitoring and identity-aware LLM routing; and require human approval gates plus policy-based model selection.
Governance belongs in the infrastructure layer, not individual apps, so policy is not rewritten as models change.