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
Guides
Agent readiness: fix the repos slowing your rollout
Use agent readiness to find the repositories blocking an AI rollout, prioritize fixes, and measure progress with Factory’s reports and dashboard.
Read articleFactory Private
Enterprise AI
On-prem AI development inside your security boundary
On-prem AI development needs more than a local agent. Place the control plane, model endpoint, build tools, and telemetry inside the approved boundary.
Read articleAI Coding Agents
Enterprise AI
Context compaction must preserve the next step
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.
Read articleComparisons
Enterprise AI
Droid vs Devin for enterprise engineering workflows
Compare Droid vs Devin for interactive coding, delegated multi-step work, and review handoffs. Separate saved instructions, persistent compute, and model configuration.
Read articleComparison
Factory Droid vs Cursor
Compare Factory Droid and Cursor through enterprise deployment, privacy, administrative controls, editor integration, and a practical pilot.
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
Modernization
Legacy modernization with private AI agents
Plan legacy modernization with private AI around behavior preservation, internal dependencies, and reviewable milestones. Keep code and validation inside the approved boundary.
Read articleSoftware Factory
The architecture of a software factory
Follow a bug report through a software factory architecture, from context and planning to a tested patch, controlled release, and production feedback.
Read articleFactory Private
Enterprise AI
Private AI package work needs durable context
Private AI package maintenance depends on repeatable builds and durable context. Chainguard’s published experience shows why long-running sessions deserve evaluation.
Read articleAI Coding Agents
Developer Experience
Coding agents in monorepos, with clear boundaries
AI coding agents in monorepos need explicit package boundaries, local instructions, dependency graphs, and affected tests. Make large repositories easier to change safely.
Read articleFactory Private
Enterprise AI
Factory Managed vs Private: choosing the boundary
Compare Factory Managed vs Private across control-plane ownership, model access, telemetry, and operations. Choose a deployment around your actual requirements.
Read articleFactory Private
Enterprise AI
Factory Private architecture inside your boundary
Factory Private architecture puts the control plane in your infrastructure. Plan the model, network, telemetry, and operating boundaries before a pilot.
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