AI Power Ranking Icon
AI Power Ranking

AI Power Ranking

Comprehensive rankings of AI coding tools using Algorithm v7.0

Total Tools
31
Categories
9
Avg Score
67.2
Last Update
This Week
Ranking Tiers
Tools are assigned tiers based on their ranking position
S
Elite
Rank Top 5
The absolute best AI coding tools
A
Excellent
Rank 6-15
Exceptional tools with strong performance
B
Good
Rank 16-25
Solid, reliable tools
C
Average
Rank 26-35
Decent tools with specific use cases
D
Below Average
Rank 36+
Tools with limited features or adoption
Active filters:
Ide Assistant
GitHub Copilot icon
GitHub Copilot
Ide Assistant
🏆#1
S
18

AI pair programmer with autocomplete, chat, and autonomous coding agent capabilities. Can execute multi-step tasks, run terminal commands, and self-heal errors

ide assistant
Score: 93.0
SWE-bench: 56.0%
Agentic: 10.0Innovation: 10.0
Tabnine icon
Tabnine
Ide Assistant
#10
A
7

AI code completion assistant emphasizing privacy with option for local models, supporting 30+ languages and most IDEs

ide assistant
Score: 71.3
Agentic: 7.0Innovation: 3.0
Augment Code icon
Augment Code
Ide Assistant
#12
A
9

Enterprise-grade AI coding assistant with 200K token context and deep codebase understanding

ide assistant
Score: 69.3
SWE-bench: 65.4%
Agentic: 10.0Innovation: 3.0
Google Gemini Code Assist icon
Google Gemini Code Assist
Ide Assistant
#13
A
1

Google's strategic response to GitHub Copilot, featuring an industry-leading 2M token context window and aggressive free tier offering 180K monthly completions. Represents Google's bid to capture developer mindshare through superior technical specifications and generous free usage. Demonstrates Google's commitment to competing in the developer tools space with its advanced Gemini models.

ide assistant
Score: 69.0
Agentic: 7.0Innovation: 3.0
Replit Agent icon
Replit Agent
Ide Assistant
#14
A
1

AI agent integrated into Replit online IDE for autonomous coding

ide assistant
Score: 67.6
Agentic: 7.0Innovation: 5.0
Sourcegraph Cody icon
Sourcegraph Cody
Ide Assistant
#21
B
7

AI coding assistant that indexes entire repositories with embeddings to answer questions, generate code with full project context, and explain existing code

ide assistant
Score: 61.5
Agentic: 7.0Innovation: 3.0
JetBrains AI Assistant icon
JetBrains AI Assistant
Ide Assistant
#24
B
8

AI assistant integrated into JetBrains IDEs providing code completions, chat assistance, and multi-file editing with Junie agent

ide assistant
Score: 60.5
Agentic: 7.0Innovation: 4.0
Microsoft IntelliCode icon
Microsoft IntelliCode
Ide Assistant
#29
C
3

AI-assisted development feature included in Visual Studio and VS Code that provides smarter IntelliSense by using ML to rank code suggestions by context and API usage patterns

ide assistant
Score: 53.2
Agentic: 7.0Innovation: 3.0
About Algorithm v7.0
Our ranking algorithm combines quantitative metrics with qualitative assessments to provide a comprehensive view of AI coding tools. We update rankings weekly based on new data and continuously refine our methodology.

Primary Factors (67.5%)

Agentic Capability30.0%
Innovation15.0%
Performance12.5%
Adoption10.0%

Secondary Factors (32.5%)

Traction12.5%
Sentiment7.5%
Velocity5.0%
Resilience5.0%
How are AI tool rankings determined?
Our AI tool rankings use Algorithm v6.0 which evaluates tools across 8 key factors: Agentic Capability, Innovation, Technical Performance, Developer Adoption, Market Traction, Business Sentiment, Development Velocity, and Platform Resilience. Rankings are updated weekly with fresh data from multiple sources.
AI Tool Rankings FAQ
AI tool rankings are comprehensive evaluations of artificial intelligence software tools based on performance, features, user adoption, and technical capabilities. Our rankings help developers and businesses choose the best AI tools for their specific needs.
Our rankings use Algorithm v6.0, which evaluates 8 key factors: Agentic Capability, Innovation, Technical Performance, Developer Adoption, Market Traction, Business Sentiment, Development Velocity, and Platform Resilience. Each factor is weighted based on its importance to developers and businesses.