AgentOps Audit for AI Coders

Suggested product

AgentOps Audit for AI Coders

A local-first (and optional team-mode) observability + governance layer for AI coding agents that standardizes event logs across Claude Code and other agentic CLIs, producing auditable traces, diffs, and cost/latency breakdowns. It adds policy controls (budgets, approvals, guardrails) and automated post-run reports so engineers can safely use multi-agent workflows without losing control.

Target customer

Engineering leads and senior ICs at SMB-to-midmarket software teams (10–300 engineers) adopting AI coding agents for refactors, migrations, and architecture work, who need reliability, audit trails, and cost control.

Problem-solution fit

Users are already adopting agent teams but lack visibility into agent hierarchy, tool calls, files touched, and token burn; this causes real productivity loss and budget waste when agents loop or make unintended changes. The product makes agent runs observable and governable with standardized tracing, spend controls, and post-run compliance-style reporting that fits existing dev workflows.

Keywords

• agent observability
• developer tool
• cost attribution