Repository Readiness Gating Autonomous Agents

Agent Readiness turns repository quality into a gating layer for autonomous software work. The core idea is simple, a coding agent is only as independent as the repo it enters. Factory scores repositories across eight technical pillars and five maturity levels, then feeds that score into the same workflows where Droids code, test, and remediate issues. That makes readiness less like a dashboard metric and more like infrastructure for deciding where long running agents can safely do real work.1 2

• The signals map to the exact things that break autonomous runs in practice, missing docs, flaky tests, weak build scripts, hidden env vars, unclear module boundaries, and messy dependencies. Factory surfaces specific fixes, including AGENTS.md gaps and absent pre commit hooks, so teams can remove blockers before a Mission burns hours on avoidable failures.1 2 3
• This is also a control plane move, not just a code quality feature. Readiness runs in the CLI, dashboard, API, and CI pipeline, and Factory says 14% of Missions already run longer than 24 hours. Once agents operate for hours or days, repo health becomes an economic issue because bad validation and setup quality waste compute, time, and reviewer attention.2 4
• Competitors are moving toward governed autonomous workflows too, but from different entry points. GitHub is wrapping cloud agents in enterprise policy controls, while OpenAI has pushed Codex to more than 5 million weekly active users. Factory is differentiating by scoring whether the repository itself is ready for autonomy, not just by offering the agent that enters it.5 6 7

The next step is for readiness scores to become a standard permission layer for software agents. As enterprises move from short prompts to persistent agent workflows, the winning platforms will not just generate code, they will decide which repos are safe to automate, fix the blockers automatically, and expand autonomy repo by repo across the organization.1 2 4 5