Self-improving software needs a failure record
Blog post from Factory
Factory argues that self-improving software should track recurring user and engineering friction rather than relying only on successful task completion, using evidence such as repeated rephrasing, rejected tool calls, and error recovery to identify failures. Its January 2026 Signals research describes an internal process that abstracts session patterns for human analysts, files issues when friction exceeds a threshold, and has Droid propose and review fixes, while retaining human approval before code changes are merged. Factory reported a 30% reduction in repeated-rephrasing friction within 48 hours for one internally observed change, but presents this as a specific result rather than a universal guarantee. The approach recommends reproducing failures, preserving errors and acceptance tests, integrating automation with existing review and release controls, and measuring post-release outcomes for retries, requirements compliance, costs, and regressions.
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