Concurrency Conflicts in Multi-Agent Codebases
Multi-agent systems need new coordination beyond locks and retries.
Build production coding pipelines with orchestrator-worker separation, isolation, and budgets.
Multi-agent systems need new coordination beyond locks and retries.
Three models work as layers, not alternatives, to prevent access creep.
Roles set broad limits; attributes govern operations that context changes.
Securing remote AI agents requires controls beyond sandboxes.
Agents gain true exploration by checkpointing sandbox state.
Treat documentation generation as governed infrastructure, not delegated writing.
Automated agents can triage CI failures at scale without pulling engineers into debugging.
Agents need persistent repository context and audit trails to review code reliably at scale.
Git stores complete snapshots as objects, not diffs.
Teams must build governance infrastructure to safely run autonomous coding agents at scale.
Hard budget caps must sit in the execution path to stop runaway agents before overspend happens.