About This Directory
I'm Kaushik Rajan â founder, engineer, and computer scientist. I built this directory to make it easier to evaluate AI coding tools with objective, evidence-based analysis rather than marketing claims.
Every tool is tested hands-on. I verify data monthly and update content as tools evolve. For more about my work and applications, visit kaushikrajan.me.
Evaluation Methodology
I use a systematic 100-point scoring framework across four weighted categories:
- AI Capabilities (45%): Code generation quality, contextual awareness (single-file to project-wide), feature breadth including refactoring, test generation, security scanning (and specialized tools like Snyk Code), and debugging.
- Developer Experience & Integration (25%): IDE integration quality, performance, reliability, and language support.
- Usability & Support (15%): Ease of use, documentation quality, and customer support responsiveness.
- Pricing & Value (15%): Cost structure, pricing clarity, and overall value proposition.
The goal is to help developers choose tools based on demonstrated capabilities. For broader context on the AI coding landscape, explore the industry statistics covering market size, adoption, and productivity impact.