An autonomous coding agent for repo tasks and PRs
Jules helps you offload coding chores like bug fixes, test work, and version bumps. It works with GitHub, runs code in a cloud VM, and asks for approval before it turns changes into a PR.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →
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What's happened with Jules lately
- Score changeRubric upgrade v3_0 → v3.1: score 8/32 → 15/368 → 15/36(+7)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.
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About
Jules is an experimental AI coding agent from Google Labs. It’s built for developers who want help with repository work that can be time-consuming but fairly routine: fixing bugs, adding tests, updating dependencies, and making feature changes.
Jules is more autonomous than a typical coding assistant, but it is not fully hands-off. The workflow still includes a planning step and user approval before code changes are applied, so it fits best when you want an agent to do the implementation work while you stay in control of the final output.
Proposes and executes multi-step plans with your approval.
Dimension Breakdown
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- Free: 15 tasks per day and 3 concurrent tasks; powered by Gemini 2.5 Pro.
- Pro: 100 tasks per day and 15 concurrent tasks; higher access to the latest models, starting with Gemini 3 Pro.
- Ultra: 300 tasks per day and 60 concurrent tasks; priority access to the latest models, starting with Gemini 3 Pro.
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