Select ten representative tasks with acceptance tests.
MEASUREMENT BLUEPRINT · REVIEWED 4 SEPTEMBER 2026
Issue description to reviewed code change
Does an AI coding stack improve delivery without increasing escaped defects, security findings or review burden?
Record a credible baseline.
- 01Cycle time for comparable issues
- 02Reviewer minutes per accepted change
- 03Defects or security findings after merge
Four accountable stages.
Apply repository, secret and dependency boundaries.
Require tests, explanation and a reviewable diff.
Compare accepted completion rate against the existing workflow.
Test the role, not the logo.
Product access and pricing change. Read the dated review, confirm supplier terms and run each tool against the same acceptance rules.
MEASURE
Decision metrics
- Accepted completion rate
- Reviewer minutes
- Test pass rate
- Escaped defect rate
STOP / GO CONTROLS
Non-negotiable gates
- Secrets and production data stay outside prompts.
- Human review remains mandatory.
- Generated dependencies receive the normal security checks.
AFTER THE TEST
Read HubAI methodologyReport the failures as carefully as the gains.
State the sample, dates, people, tool plans, accepted-output definition and correction effort. A useful result can be reproduced; a marketing claim cannot.