Reviewer agents and acceptance criteria
Reviewer agents are useful when they evaluate against explicit acceptance criteria and produce actionable findings.
A reviewer agent should not merely critique. It should compare artifacts against stated requirements, risk policy, and tests.
AstraRunner treats this as an execution-platform concern: the run needs durable state, traceable decisions, cost visibility, and enough structure for teams to review what happened after the agent finishes.
Patterns that work
- Provide acceptance criteria as structured input.
- Require findings to cite evidence.
- Separate blocking and non-blocking findings.
- Use validator agents to confirm fixes.
Implementation checklist
- Define severity levels.
- Link findings to files, spans, or artifacts.
- Prevent self-review.
- Track finding resolution.
Watch outs
- Review without criteria becomes style preference.
- Overly broad reviewers create noise.
- Accepted risk needs explicit owner.
Related reading
How this fits the Astra stack
AstraRunner owns the operational path for agent work: orchestration, scheduling, approval gates, traces, costs, and role-agent handoffs. AstraMemory owns durable context and retrieval. AstraGenie turns those capabilities into product workflows for teams that want automation without rebuilding the platform layer.