What are the key differences between JetBrains AI Assistant and Supermaven?

Compare JetBrains AI Assistant and Supermaven side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are JetBrains AI Assistant and Supermaven scored?

JetBrains AI Assistant has an AI score of 8.9/10 and Supermaven has an AI score of 8.7/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

JetBrains AI Assistant vs Supermaven 2026 - Compared

JetBrains AI Assistant

Supermaven

WINNER JetBrains AI Assistant

JetBrains AI Assistant edges ahead with a score of 8.9/10 compared to 8.7/10 for Supermaven. While both are highly rated...

emoji_events WINNER

JetBrains AI Assistant

8.9 Great

Coding Assistant Get JetBrains AI Assistant open_in_new

Supermaven

8.7 Great

Coding Assistant Get Supermaven open_in_new

JetBrains AI Assistant From $9.99/mo Free plan available

payments

Supermaven Pricing not available

psychology AI Verdict

JetBrains AI Assistant edges ahead with a score of 8.9/10 compared to 8.7/10 for Supermaven. While both are highly rated in their respective fields, JetBrains AI Assistant demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: JetBrains AI Assistant

verified Confidence: Low

Ready to decide? Get JetBrains AI Assistant arrow_forward

description Overview

JetBrains AI Assistant

JetBrains AI Assistant is a deeply integrated plugin for the full suite of JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, etc.). Its primary advantage is its native understanding of the IDE's rich semantic context—project structure, refactoring tools, run configurations, and frameworks. This allows for highly accurate code generation, explanation, and commit message generation that aligns with...

Supermaven

Supermaven distinguishes itself through sheer speed and a massive context window. It claims to offer one of the fastest autocomplete experiences in the industry, minimizing the 'lag' often felt when waiting for AI suggestions. With a 1-million-token context window, it can ingest your entire codebase to provide highly relevant suggestions that understand complex dependencies across large projects.