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
EliteRank Top 5
The absolute best AI coding tools
A
ExcellentRank 6-15
Exceptional tools with strong performance
B
GoodRank 16-25
Solid, reliable tools
C
AverageRank 26-35
Decent tools with specific use cases
D
Below AverageRank 36+
Tools with limited features or adoption
Active filters:
Autonomous Agent ✕
Claude Code
Autonomous Agent
🥉#3
S
↓2Terminal-based coding agent with deep codebase understanding and multi-file editing
autonomous agent
Score: 87.5
SWE-bench: 80.2%
Agentic: 10.0Innovation: 9.0
Google Jules
Autonomous Agent
#5
S
↓3Asynchronous AI coding agent that works in background cloud VMs for GitHub workflows
autonomous agent
Score: 77.0
SWE-bench: 52.2%
Agentic: 10.0Innovation: 5.0
OpenAI Codex CLI
Autonomous Agent
#16
B
↓9Modern CLI tool powered by o3 reasoning model for autonomous software engineering
autonomous agent
Score: 67.1
Agentic: 8.0Innovation: 6.0
ChatGPT Canvas
Autonomous Agent
#17
B
↓11Collaborative workspace interface for ChatGPT that allows side-by-side editing of code and text with inline AI suggestions
autonomous agent
Score: 65.3
Agentic: 7.0Innovation: 3.0
Devin
Autonomous Agent
#19
B
↓16Autonomous AI software engineer capable of planning, coding, debugging, and deploying applications
autonomous agent
Score: 63.7
SWE-bench: 13.9%
Agentic: 6.7Innovation: 5.0
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.