| Feature | Devin | Google Jules |
|---|---|---|
| Free Plan | ✗ No | ✓ Yes |
| Pricing | $500/mo | Free (beta) |
| Rating | ★★★★☆ 4.4 | ★★★★☆ 4.4 |
| Key Feature 1 | End-to-end task autonomy | Async coding |
| Key Feature 2 | Sandboxed Linux environment | PR generation |
| Key Feature 3 | Long-horizon memory | Codebase understanding |
Reach buyers comparing Devin and Google Jules. High-intent traffic, direct conversions.
Devin and Google Jules are rated almost identically by users (4.4 vs 4.4), so the right pick comes down to feature fit rather than overall quality. Google Jules offers a free plan, making it the lower-risk option to try first — Devin starts at $500/mo. Devin tends to be favoured by enterprises, while Google Jules is more popular with agencies and remote-work.
Devin versus Google Jules is one of the more common decisions buyers face — both sit in the coding tools space, but they solve the problem from different angles. Devin is best known for end-to-end task autonomy, whereas Google Jules stands out for async coding. Both land at 4.4/5 with users, so the right pick comes down to fit rather than raw quality.
Where Devin pulls clearly ahead is implementing a complete feature from a GitHub issue or specification. A frequent plus in reviews: Most autonomous coding agent available. Google Jules, by contrast, is the stronger choice for automatically fixing bugs by assigning Jules a GitHub issue. In its favour: Works asynchronously, no supervision needed. The feature checklists overlap, but the day-to-day experience does not.
Devin is genuinely impressive for well-scoped engineering tasks — the level of autonomous action is beyond what IDE plugins can achieve. Google Jules is the most deeply GitHub-integrated autonomous coding agent — the issue-to-PR workflow is more natural than competitors for teams already on GitHub. Bottom line: the "better" tool here is the one that fits the work you do most.
Choose Devin if you are focused on engineering teams wanting to offload well-defined, self-contained software tasks to an autonomous agent — particularly for implementing features from specifications, debugging issues, and modernising legacy code, or if a big part of your week goes to debugging a complex production issue autonomously by tracing through code. It rewards teams ready to commit to a paid plan from the start.
Choose Google Jules if your priority is development teams using GitHub who want to offload well-defined coding tasks — bug fixes, test writing, and small feature implementations — to an autonomous agent without switching to a different coding environment, especially for implementing small features from detailed GitHub issue specifications. A free plan is available, so you can trial the workflow at zero cost first.
On reliability and output quality, both are dependable, but Devin shines at implementing a complete feature from a GitHub issue or specification and Google Jules at automatically fixing bugs by assigning Jules a GitHub issue.
Learning curve is worth weighing. Devin has a known trade-off — Very expensive at $500/month — worth evaluating before committing if this is central to your use case. On Google Jules's side: Still in beta, occasional errors — worth evaluating before committing if this is central to your use case. Factor in the integrations you already rely on — that usually settles which one sticks after the trial.
Google Jules is the easier on-ramp: it offers a free plan, whereas Devin asks for payment up front. Devin is priced $500/mo and Google Jules Free (beta); map the tier you'd actually buy against your real usage before committing.
🚀 Ready to decide? Try both free and see which fits your workflow.
Devin is Cognition AI's fully autonomous software engineer — it can plan, write, debug, test, and deploy code end-to-end from a natural lang… Read the full Devin review →
Google Jules is Google's autonomous AI coding agent — integrated with GitHub to review pull requests, fix bugs, and implement features from … Read the full Google Jules review →
• Most autonomous coding agent available
• Handles end-to-end task completion — especially for end-to-end task autonomy workflows where Devin consistently outperforms manual approaches
• Real-time visibility into agent actions
• Integrates natively with GitHub — especially for end-to-end task autonomy workflows where Devin consistently outperforms manual approaches
• Very expensive at $500/month — worth evaluating before committing if this is central to your use case
• Struggles with ambiguous requirements — a real limitation for power users who need those capabilities
• Works asynchronously, no supervision needed
• Free during beta — especially for async coding workflows where Google Jules consistently outperforms manual approaches
• Handles GitHub issue backlog — especially for async coding workflows where Google Jules consistently outperforms manual approaches
• Writes tests automatically — especially for async coding workflows where Google Jules consistently outperforms manual approaches
• Still in beta, occasional errors — worth evaluating before committing if this is central to your use case
• Best for Python and JavaScript currently