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.
Guides on building, governing, and scaling an agent-native software factory, plus write-ups of the podcasts and talks behind the ideas.
Within AI Coding Agents
AI Coding Agents
Testing

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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AI Coding Agents

Agent readiness exposes avoidable setup, search, and validation work. Connect repository improvements to token efficiency without inventing a savings benchmark.
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API Development

API compatibility checks help coding agents change services without surprising consumers. Compare contracts, trace callers, and validate old and new behavior.
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Enterprise AI
Model routing can lose its price advantage when a switch discards cached context. Factory’s research explains why task state belongs in the decision.
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Governance

A coding agent audit trail connects identity, intent, tool activity, validation, review, and deployment. Learn what evidence to retain without collecting unnecessary data.
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Enterprise AI

Context compaction should preserve decisions and file state, not just shrink a transcript. Factory’s published study shows what to test after a long coding session.
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Platform Engineering

Database migrations with coding agents need staged schema changes, compatibility tests, rollback evidence, and human approval without hiding operational risk.
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Software Supply Chain
AI dependency updates need more than a version bump. Scope compatibility work, inspect transitive changes, run focused tests, and keep every update reviewable.
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Maintenance

Feature flag cleanup is a cross-cutting maintenance task. Learn how coding agents can prove a flag is stale, remove both branches, and validate the resulting behavior.
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Observability

Coding agent observability work needs stable signal names, bounded cardinality, and behavioral evidence. Learn how to review instrumentation changes.
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Engineering Management

A coding agent task specification needs a bounded outcome, repository context, acceptance criteria, and verification steps. Use this practical structure for delegated work.
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Developer Experience

AI coding agents in monorepos need explicit package boundaries, local instructions, dependency graphs, and affected tests. Make large repositories easier to change safely.
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