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Evidence before wider autonomy

Roadmap

The next steps target failure diagnostics and decision quality rather than simply increasing worker counts or retry limits.

Research preview

Private internal project. Features described here are evidence-limited and are not offered as a public execution service.

First: actionable feedback

Correct misleading retry messages and establish which visible-test failures give the worker useful information. Do not pass withheld acceptance answers or diagnostics into model prompts.

Next: bounded experiments

Run authorized same-task early-stop checks, then a representative paired benchmark containing tasks that fail visibly, tasks that fail only withheld checks, and tasks that should not be attempted.

Then: quality and cost

Compare held-out success at clearly declared attempt, time and token budgets. Verify signatures, source integrity and cleanup. Measure local compute, operator review, and external API fees separately.

After evidence: operator workflow

Improve the review experience so scope, provenance, risk, test results, costs and the proposed patch can be inspected before any apply or merge. Approval remains independent of model-generated text.

Not enabled

Unattended grants and deployments, privileged tool inheritance, and multi-node code execution require their own certification and are not current promised capabilities.