Show HN: Control Layer Demo for AI Coding Agents
Letting coding agents (such as Claude Code) work autonomously on repos on a daily-basis, brings a high level of uncertainty. For those who won't let the agent decide alone whether it can create/modify or delete any folder on their repos; I wanted to be able to trace actions performed and being able to let the agent continue his work autonomously, or ask him to request a human approval according to some criteria defined. After investigations, the cleanest way to do it was according to me to devel
Read original sourceSource record
Recorded metrics
points · 1 votes
2026-11-09 20:45:05.975Z
cumulative since publication
Research analysis
Project record
Repository: MintCoderpro/mintigate-demo. Source account: Letting coding agents (such as Claude Code) work autonomously on repos on a daily-basis, brings a high level of uncertainty. For those who won't let the agent decide alone whether it can create/modify or delete any folder on their repos; I wanted to be able to trace actions performed and being able to let the agent continue his work autonomously, or ask him to request a human approval according to some criteria defined. After investigations, the cleanest way to do it was according to me to devel
Observed adoption & comparisons
Source votes: 1 votes (Nov 9, 2026 UTC; cumulative since publication); previous same-scope observation: 1 (Nov 9, 2026 UTC). These observations do not establish demand growth. Recent records to compare: “Show HN: Vork – headless 3D and VFX engine for agents” (Show HN, Nov 9, 2026); “Show HN: Agent-email-guard – agent tried to send 400 receipts, stopped at 5” (Show HN, Nov 9, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
Adoption decision
Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.
Unverified requirements
Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.
Next test
Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.