Jules vs Devin (2026)

Jules

by Google

Devin

by Cognition

Pros

• ✓Fully autonomous asynchronous execution backed by Google: Jules runs in a Google Cloud VM in the background so developers can close their computer and return to completed pull requests hours later. Task-based pricing (15/100/300 daily tasks) aligns cost with output rather than seat time.
• ✓Google I/O 2026 GA launch with Gemini 3.1 Pro: Jules benefits from Google's frontier model investment with large context windows that handle entire codebases without retrieval augmentation. Over 140,000 code improvements were shipped during the beta period.
• ✓Android Studio CLI and Firebase integration enable fully automated loops: Jules can invoke build systems, emulators, and test runners programmatically, while Firebase AI Logic provides agent-native backend persistence with authentication, Firestore, and Cloud Functions.

Limitations

• ⚠Gmail accounts only for paid tiers: Google Workspace and enterprise accounts cannot access Pro or Ultra plans yet, which blocks adoption at organizations running Google Workspace as their primary account system.
• ⚠MCP integrations limited to vetted partners: Jules restricts MCP server connections to a security-vetted list (Linear, Stitch, Neon, Tinybird, Context7, Supabase), which limits workflow integrations versus tools with open MCP ecosystems like Cline, Goose, or OpenCode.
• ⚠Asynchronous-only execution creates workflow friction for tight iteration: Jules does not support synchronous IDE-embedded coding, so developers needing real-time interactive AI responses should evaluate Cursor or Claude Code alongside or instead of Jules.

Pros

• ✓Cognition states that 89% of code committed by its own engineers is committed by Devin, and names Citi, Mercedes-Benz, Goldman Sachs, Elevance, Dell, Santander and the U.S. Army and Navy among customers, which is unusually strong enterprise evidence for an autonomous agent.
• ✓Devin Desktop, formerly Windsurf, is bundled into every paid plan, so Pro at $20 per month covers both autonomous cloud sessions and agentic coding in a local IDE under one subscription rather than two.
• ✓MCP works in both directions. Cognition publishes an MCP server at mcp.devin.ai that external agents connect into to manage sessions, playbooks and schedules, and Devin consumes external servers through its MCP Marketplace.

Limitations

• ⚠Asynchronous operation creates a slow feedback loop. Tasks take minutes to hours rather than the near-instant responses developers expect in an editor, which rules Devin out for tight iteration, live debugging and pair programming.
• ⚠Cognition publishes no autonomous task-completion rate. Its 89% figure measures share of commits inside Cognition itself rather than the proportion of assigned tasks completed, and its own case-study language describes a human approving changes on large migrations.
• ⚠Usage past the included quota bills at API rates, so monthly spend is hard to predict for teams running several concurrent sessions, and Enterprise moves to Agent Compute Unit billing with no published rate.