Every Sageware Squads engineer follows the same AI-augmented code review workflow. Not because it's a marketing line — because it's how the work actually gets checked before it reaches your repo.
The workflow, step by step
- AI-assisted first pass. Before a human reviewer sees a pull request, an AI coding agent runs a first-pass review — flagging obvious issues, style deviations, and missing test coverage.
- Human review gate. A senior engineer reviews the AI's flags alongside the diff itself. AI suggestions are inputs, not verdicts — nothing merges on AI approval alone.
- Test generation. AI-assisted test generation drafts coverage for new logic paths; the engineer edits and confirms before it ships.
- Documentation pass. PR descriptions and inline comments get an AI-assisted pass for clarity, then a human edit for accuracy.
What we don't automate
Architecture decisions, security-sensitive logic, and anything touching client data policy stay human-first. AI accelerates the mechanical parts of review — it doesn't make the judgment calls.
How this is governed
Client code never leaves an approved, contracted tooling boundary. Model and data policies are agreed before an engagement starts, and every AI-assisted step still passes through a human review gate. This is the same posture we describe in The Sageware Standard.
We don't claim a 5x or 10x productivity multiplier. We show you the workflow and let you draw your own conclusion about what it's worth.
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