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 AI Coding Agents
AI Coding Agents
Software Delivery
Cross-repository coding agent coordination
Cross-repository coding agents need explicit dependency order, isolated workspaces, compatible changes, and release evidence. Use this plan for coordinated updates.
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AI Coding Agents
Factory and Claude Code: compare completed work
Compare Factory and Claude Code token efficiency using accepted changes, billed usage, cache behavior, and reruns. Keep model and harness effects separate.
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Enterprise AI
Fast inference changes the coding-agent workflow
Fast inference can shorten coding-agent feedback loops. Groq’s published Factory experience shows where model choice and end-to-end validation matter.
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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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Infrastructure
Safer infrastructure as code changes with agents
Infrastructure as code changes need plan evidence, policy checks, and controlled application. Learn how coding agents can prepare reviewable cloud changes.
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Engineering Management
Keeping long-running coding agents on track
Long-running coding agents need bounded milestones, externalized state, independent validation, and clear stop conditions. Use these controls for multi-day work.
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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.
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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.
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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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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.
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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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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.
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