The agent-native software factory
Guides on building, governing, and scaling an agent-native software factory, plus write-ups of the podcasts and talks behind the ideas.
Within Testing & Review
AI Coding Agents
Testing
Test impact analysis for coding agent changes
Test impact analysis helps coding agents select fast checks without missing affected behavior. Learn how to combine dependency data with risk-based validation.
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Testing
Test fixture maintenance with coding agents
Test fixture maintenance with coding agents can remove hidden dependencies, reduce setup cost, and preserve the behavior each test proves.
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Testing
Accessibility testing with coding agents
Accessibility testing with coding agents combines deterministic scans, keyboard flows, semantic inspection, and human review. Build useful evidence into every UI change.
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Code Review
Reviewing agent-generated pull requests at scale
Review agent-generated pull requests with bounded diffs, automated checks, ownership rules, and evidence that lets human reviewers focus on consequential decisions.
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Testing
Localization testing with coding agents
Localization testing with coding agents checks translated interfaces for layout, formatting, direction, missing messages, and functional regressions.
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Testing
Finding the cause of flaky tests with coding agents
Flaky test triage needs repeatable evidence, controlled reruns, and a narrow fix. Learn how coding agents can investigate intermittent CI failures without hiding them.
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Code Review
Code ownership for coding agent pull requests
Code ownership routes coding agent pull requests to people who understand the affected systems. Keep ownership rules current, specific, and protected.
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Testing
Visual regression testing with coding agents
Visual regression testing with coding agents combines stable screenshots, targeted interaction, and human review of intentional UI changes.
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Testing
Concurrency testing for coding agent changes
Concurrency testing for coding agent changes combines race detectors, controlled execution orders, invariants, and stress runs with reproducible evidence.
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Testing
Time zone testing for agent-generated code
Time zone testing for agent-generated code covers daylight-saving transitions, database updates, ambiguous local times, and deterministic clocks.
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Code Review
Protobuf compatibility in agent-generated changes
Protocol Buffer compatibility review for coding agent changes checks field history, generated clients, mixed-version behavior, and rollback safety.
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Code Review
Database query plan review for agent changes
Database query plan review for coding agent changes compares representative plans, measured execution, and schema context before a performance-sensitive merge.
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