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· 2 min read
VibeGov Team

Most teams do not have an "AI quality" problem. They have a backlog behavior problem.

Agents execute one task, then stall. Or they cherry-pick easy work. Or they stop looking at backlog state entirely.

GOV-07 is about enforcing repeatable backlog behavior so agents continuously deliver against real priorities.

The real process

The process is simple and strict:

  1. Use GitHub Issues as the execution backlog.
  2. Keep agent attention anchored on backlog state.
  3. Run scheduled backlog monitoring.
  4. Convert monitoring into action on ready issues.
  5. Repeat continuously.

This creates a stable delivery loop instead of one-off bursts.

Operational pattern

1) Backlog is the queue of truth

Agents should not invent side queues.

Execution starts from:

  • issue priority
  • issue readiness
  • blockers/dependencies
  • explicit acceptance and verification expectations

2) Agent behavior is repetitive by design

For each cycle, agents should:

  • read current open issues
  • identify highest-priority unblocked ready item
  • execute or escalate
  • update issue with evidence/status
  • move to next ready item

Consistency beats heroics.

3) Monitoring must run on a schedule

Do not rely on manual nudges.

A scheduled monitor should regularly:

  • scan issue backlog state
  • detect stalled items
  • detect missing fields/spec binding
  • surface newly ready work
  • trigger next execution action

This keeps throughput alive even when humans are busy.

4) Action must be issue-driven

When monitoring finds work:

  • if issue is ready: execute
  • if issue is under-specified: harden and flag for review
  • if blocked: annotate blocker and move to next item

No silent waiting.

Why this works

This model turns backlog from a passive list into an active control system.

Benefits:

  • fewer stalled cycles
  • better priority compliance
  • less context loss between runs
  • clearer operational visibility
  • compounding delivery velocity over time

Minimal implementation checklist

  • GitHub issue-first execution policy enabled
  • readiness criteria defined
  • scheduled backlog monitor configured
  • issue status/evidence updates required
  • next-item continuation rule enforced

Bottom line

If you want agents to keep shipping, stop treating backlog as documentation. Treat it as an operational loop the agent repeatedly reads, validates, and acts on.

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