What It Actually Takes to Build a Software Factory — Tereza Tížková, Factory

This post defines a software factory as the autonomous execution of the entire software lifecycle, encompassing signal collection, prioritization, building, validation, and improvement. It outlines three core principles for building such factories: 1. Agnostic approach: integrating with existing team workflows and automatically routing between different AI models to achieve savings (around 25% demonstrated). This involves a router that considers model capabilities and cost. 2. Autonomy: enabling long-running 'Missions' (up to 16 hours in an example) where worker agents execute sequentially, each starting with fresh context, and validators (including one that interacts with the application) ensure code quality. 3. Continuous improvement: employing deferred context engines to reduce token usage by over 50% and implementing agent readiness checks to prevent code degradation. The human role is shifted to strategic decision-making, offloading repetitive and annoying tasks to agents.