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Rubrics for autonomous coding agents

6 Jul 2026 · 7 min read

Coding agents need clear rubrics for correctness, maintainability, tests, security, and deployment readiness.

A coding agent rubric converts subjective review into reusable quality signals that can be compared across runs.

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

  • Grade correctness separately from style.
  • Score test relevance, not only test presence.
  • Treat security and migration risk as explicit dimensions.
  • Keep deployment readiness distinct from implementation completeness.

Implementation checklist

  • Use a fixed scale per dimension.
  • Require textual rationale for low scores.
  • Tie findings to files, tests, or artifacts.
  • Track rubric changes as versioned policy.

Watch outs

  • One aggregate score hides failure modes.
  • Rubrics that change silently break trend analysis.
  • A passing build is not a passing implementation.

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.