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managing-codeball

Use when working with Codeball — codeBall AI-powered pull request risk assessment including automatic PR quality scoring, risk classification, and auto-approval for low-risk changes. Use when configuring CodeBall for automated PR triage, risk-based review routing, and review workload optimization.

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Managing CodeBall

Overview

Manage CodeBall AI-powered PR risk assessment, including automatic quality scoring, risk classification, auto-approval for safe changes, and integration with review workflows.

Key Capabilities

  • Automatically assess PR risk level using AI analysis
  • Auto-approve low-risk PRs to reduce reviewer burden
  • Classify PRs by risk: low, medium, high
  • Integrate risk scores into existing review workflows
  • Track risk assessment accuracy over time
  • Configure risk thresholds and auto-approval policies

Workflow

1 — Risk Assessment Configuration

RISK ASSESSMENT SETUP
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[ ] Enable AI risk scoring: YES / NO
[ ] Risk classification thresholds:
    - Low risk (auto-approve eligible): score < ___
    - Medium risk (standard review): score ___ - ___
    - High risk (senior review required): score > ___
[ ] Analysis scope:
    - All PRs: YES / NO
    - Exclude draft PRs: YES / NO
    - Exclude WIP PRs: YES / NO

2 — Auto-Approval Policy

AUTO-APPROVAL RULES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[ ] Enable auto-approve for low-risk PRs: YES / NO
[ ] Additional conditions for auto-approve:
    [ ] All CI checks pass
    [ ] PR size < ___ lines
    [ ] No changes to critical paths (auth, payments, etc.)
    [ ] Author has > ___ merged PRs
[ ] Label auto-approved PRs: YES / NO
[ ] Post approval comment: YES / NO

3 — Review Routing

RISK-BASED ROUTING
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[ ] Low risk: auto-approve or assign to any reviewer
[ ] Medium risk: assign to team reviewer
[ ] High risk: assign to senior engineer + additional reviewer
[ ] Critical risk: assign to tech lead + security review
[ ] Add risk label to PR: YES / NO

Common Operations

Risk Score Dashboard

View aggregate risk scores across PRs, trending over time.

Auto-Approval Audit

Review auto-approved PRs to validate AI assessment accuracy.

Threshold Tuning

Adjust risk thresholds based on false positive/negative rates.

Troubleshooting

IssueCauseFix
All PRs marked high riskThreshold too lowIncrease high-risk threshold based on score distribution
False auto-approvalsThreshold too permissiveLower auto-approve threshold or add conditions
Risk score not appearingGitHub App permissionsVerify CodeBall app has read access to PR content
Assessment delayedQueue backlogCheck CodeBall service status

Output Format

Present results as a structured report:

Managing Codeball Report
════════════════════════
Resources discovered: [count]

Resource       Status    Key Metric    Issues
──────────────────────────────────────────────
[name]         [ok/warn] [value]       [findings]

Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]

Target ≤50 lines of output. Use tables for multi-resource comparisons.

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

ShortcutCounterWhy
"I'll skip discovery and check known resources"Always run Phase 1 discovery firstResource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"Follow the full discovery → analysis flowQuick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"Audit configuration explicitlyDefaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"Always check relevant metrics when availableAPI/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"Try the command and report the actual errorAssumed permission failures prevent useful investigation; actual errors are informative

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