AI Power RankingAI Power Ranking

Our Methodology

How we rank AI coding tools

Algorithm v6.0
Our latest ranking algorithm incorporates real-world usage patterns and market dynamics

Key Features

  • Innovation decay modeling to reflect tool freshness
  • Platform risk assessment for vendor dependencies
  • Revenue quality adjustments based on business model
  • Technical capability weighting for different use cases
  • Multi-source data validation and normalization
  • Logarithmic scaling for balanced comparisons
Scoring Factors
Tools are evaluated across 8 key dimensions with specific weightings

Primary Factors (82.5%)

Agentic Capability

30%

Measures autonomous capabilities, multi-step reasoning, and complex task completion

Innovation

15%

Evaluates breakthrough features, technical advances, and market differentiation

Technical Performance

12.5%

Benchmarks on SWE-bench, HumanEval, and real-world coding tasks

Adoption

12.5%

Active users, growth rate, and market penetration metrics

Market Traction

12.5%

Revenue growth, funding rounds, and business momentum indicators

Secondary Factors (17.5%)

Sentiment

7.5%

Developer satisfaction, community feedback, and recommendation scores

Velocity

5%

Feature release cadence, update frequency, and innovation speed

Resilience

5%

Platform stability, backup options, and vendor independence

Dynamic Modifiers
Real-time adjustments that reflect market conditions and tool maturity

🔄 Innovation Decay

Innovation scores decay over time to reward continuous improvement and penalize stagnation

score = originalScore * e^(-0.115 * monthsOld)

⚠️ Platform Risk

Adjustments based on vendor lock-in, platform dependencies, and business risks

Risk Penalties

  • • Recently acquired by competitor: -2.0
  • • Platform exclusive (single LLM): -1.0
  • • Owned by competing platform: -1.5
  • • Regulatory compliance issues: -0.5
  • • Funding or sustainability concerns: -1.0

Risk Mitigation Bonuses

  • • Supports multiple LLM providers: +0.5
  • • Open source availability: +0.3
  • • Self-hosting options: +0.3

💰 Revenue Quality

Revenue weighting based on business model sustainability and growth potential

Enterprise (High-touch)100%
Enterprise (Standard)80%
SMB SaaS60%
Consumer Premium50%
Freemium30%
Open Source20%
Data Sources & Validation
We maintain rigorous standards for data collection and validation

Data Collection Methods

  • Direct API integrations with tool providers
  • Industry research reports and analyst data
  • Official company announcements and press releases
  • Developer surveys and community feedback
  • Standardized performance benchmarks

Validation Requirements

  • All required metrics must be present
  • Multiple source verification for key metrics
  • Outlier detection and manual review
  • Cross-validation with industry benchmarks

Update Schedule

Rankings are recalculated weekly with continuous data collection. Major algorithm updates are versioned and documented.