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.
Enterprise AI
Factory Private
Enterprise AI needs approved engineering context
Enterprise AI depends on engineering context that security teams can approve. Nav’s published results connect reduced context switching with controlled access.
Read articleAI Coding Agents
Release Management
Release note automation with coding agents
Release note automation needs verified scope, audience-aware language, and links to evidence. Learn how coding agents can draft notes without inventing impact.
Read articleAI Coding Agents
Platform Engineering
Reproducible environments for coding agents
Reproducible environments for coding agents make failures diagnosable and results comparable. Pin tools, preserve commands, isolate changes, and capture evidence.
Read articleAI Coding Agents
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.
Read articleAI Coding Agents
Software Supply Chain
SBOM automation for coding agent changes
SBOM automation should track resolved components, provenance, and release artifacts. Learn how coding agents can update inventories without overstating coverage.
Read articleSoftware Factory
Enterprise AI
Self-improving software architecture in practice
Self-improving software architecture connects operational evidence to reviewed changes. Define what can change, where learning persists, and who controls the next release.
Read articleSoftware Factory
Enterprise AI
Self-improving software needs a failure record
Self-improving software needs evidence that a change removed a recurring failure. Factory’s published Signals research shows that loop with human approval before merge.
Read articleSoftware Factory
Guides
Build a self-improving software workflow
Build a self-improving software workflow around one recurring failure. Use Factory automations, reviewable instructions, and QA evidence without granting automatic release authority.
Read articleSoftware Factory
Enterprise AI
A software factory should learn from shipped work
A software factory connects incoming signals to reviewed changes and production feedback. Explore Factory’s existing architecture, automations, and validation resources.
Read articleAI 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.
Read articleAI Coding Agents
Guides
Token efficiency starts with smaller tool results
Improve token efficiency by controlling tool output, search scope, and repeated context. Use Factory’s existing measurement and harness resources to test the result.
Read articleFactory Private
Data Governance
AI agent telemetry inside private networks
AI agent telemetry should answer an operational question without collecting unnecessary code. Choose metrics, identity detail, and content export deliberately.
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