What is an AI software factory?

An AI software factory is presented as a repeatable, human-governed system in which builder agents move code from specifications through testing, review, deployment, and monitored release, while product agents can alter live behavior through changes to prompts, models, tools, or data sources. The central challenge is maintaining control as AI agents increase code output faster than teams can review it, with cited industry data associating higher AI adoption with larger pull requests, longer review times, and more defects and incidents. The approach emphasizes documenting requirements and test evidence alongside each change, testing actual behavior rather than appearance alone, and using gradual, metric-based rollouts with automatic rollback options. It distinguishes deploying code from exposing it to users and argues that production controls must also cover agent configurations that can change without a new deployment. LaunchDarkly positions its feature flags, guarded rollouts, AgentControl, observability, evaluations, and experimentation tools as a way to manage both code exposure and live AI-agent configurations, enabling teams to monitor outcomes, compare variations, and reverse regressions while retaining human approval where needed.

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