Free Introductory
$0/mo
15 tasks/day, 3 concurrent
Jules
Async AI agent for GitHub Issues — assign a ticket, get back a PR.
Jules is Google's asynchronous AI coding agent. Assign a GitHub Issue (or describe a task in plain language) and it independently clones the repo into an isolated Google Cloud VM, plans the work, writes a fix, runs tests, and opens a pull request — all without the developer staying online. GA since August 2025, powered by Gemini 3 Pro on paid tiers and Gemini 3 Flash on free. Bundled with Google AI Pro and Ultra subscriptions, plus a Jules Tools CLI for terminal workflows.
+ Pros
- Fire-and-forget async workflow: assign a GitHub Issue or task and Jules independently clones, plans, codes, tests, and opens a PR — no need to stay online or monitor progress.
- Isolated Google Cloud VMs per task ensure clean, reproducible environments with no side effects between runs, and Environment Snapshots allow reusing common setups across tasks.
- CI self-correction loop: if the pipeline fails on a newly opened PR, Jules detects the error, applies a fix, and re-pushes without human intervention — reducing manual review cycles.
- Generous free tier (15 tasks/day, 3 concurrent, powered by Gemini 2.5 Pro) makes it accessible for individual developers and small teams to try without upfront cost.
- Dual-model architecture with Gemini 3 Pro on paid tiers delivers strong reasoning for planning and complex multi-file changes, while the Critic Agent provides automated self-review.
− Cons
- GitHub-only as of 2026 — no support for GitLab, Bitbucket, or other code hosting platforms, which limits its usefulness for teams on alternative platforms.
- Vendor lock-in to Google Cloud infrastructure and Google AI subscriptions — both the Pro ($19.99/mo) and Ultra ($249.99/mo) plans are tied to Google AI subscriptions.
- Limited to well-defined, testable tasks with clear requirements — Jules excels at bug fixes and version bumps but struggles with ambiguous, architectural, or highly creative work.
Pricing
Google AI Pro
$19.99/mo
100 tasks/day, 10 concurrent
Google AI Ultra
$249.99/mo
Unlimited tasks, 60 concurrent
Jules is Google's asynchronous AI coding agent, originally launched in Google Labs in December 2024, opened to public beta at Google I/O in May 2025, and made generally available worldwide in August 2025. Its core design principle is fire-and-forget: assign a GitHub issue or describe a task, and the agent independently handles the entire resolution cycle — cloning the repository into an isolated Google Cloud VM, planning the work, writing the code, running the test suite, and opening a pull request for human review. During its public beta phase, Jules generated more than 140,000 publicly shared code contributions.
Jules runs on a dual-model configuration: Gemini 3 Pro (formerly Gemini 2.5 Pro) for planning and complex reasoning on paid tiers, with lighter Gemini 3 Flash work on the free tier. Each task runs in a fully isolated Google-managed VM with its own checkout of your repo — long-running work never ties up your laptop, and Environment Snapshots let common setups be reused across tasks. A CI feedback loop closes the cycle: if the pipeline fails on the newly opened PR, Jules picks up the error, applies a fix, and re-pushes the commit without human intervention. Private-repo code is never used to train Google's models.
Beyond the GitHub-native flow, Jules added several 2026 features: a Critic Agent that reviews its own plan and output, Interactive Plan Mode for editing the agent's plan mid-execution, automated web app testing with visual screenshots, multimodal support for visual output, audio changelog summaries (listenable commit history), and the Jules Tools CLI for terminal-based task creation and monitoring. Pricing is tightly coupled with Google AI subscriptions: a free Introductory tier, Google AI Pro for daily individual use, and Google AI Ultra for high-throughput parallel agent workloads.
Key Features
• Async GitHub Issue → PR: fire-and-forget, no supervision required
• Isolated Google Cloud VMs per task — clean, reproducible, no side effects
• Dual-model: Gemini 3 Pro on paid tiers, Gemini 3 Flash on free
• CI feedback loop: Jules picks up pipeline failures and self-corrects the PR
• Interactive Plan Mode: edit the agent's plan before, during, and after execution
• Critic Agent: self-review of plan and changes
• Environment Snapshots: reuse environment configs across tasks
• Automated web app testing with visual screenshots
• Audio changelog: listenable summaries of recent commits
• Jules Tools CLI: create and monitor tasks from the terminal, pipe `gh` issues into Jules
• Multi-file editing, full test execution, automatic PR creation
• Privacy: private-repo code is not used for model training
• Free Introductory: 15 tasks/day, 3 concurrent
• Google AI Pro: 100 tasks/day, 15 concurrent
• Google AI Ultra: 300 tasks/day, 60 concurrent
• GitHub-only (no GitLab/Bitbucket support as of 2026)
Version History
Added Jules Tools CLI for terminal-based task creation and monitoring (pipe gh issues into Jules), audio changelog for listenable summaries, Gemini 3 Pro upgrade on paid tiers, increased concurrency limits.
Introduced Critic Agent for automated self-review, Interactive Plan Mode for editing plans mid-execution, automated web app testing with visual screenshots, multimodal support.
General availability worldwide — full async GitHub Issue-to-PR workflow, isolated Cloud VMs, dual Gemini 2.5 Pro/Flash, CI self-correction loop, Environment Snapshots.
Signature Snippet
A developer assigns GitHub Issue #847 ('Login button unresponsive on Safari mobile') to Jules. Jules clones the repo into an isolated VM, reproduces the bug, traces it to a CSS pointer-events conflict, writes the fix across two files, runs the existing test suite (all green), adds a regression test, and opens a pull request with a detailed description — all within 8 minutes, while the developer was in a meeting.More in this Space
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