Make Confident Tooling Decisions
Benchmark AI assistants, agents, and emerging tools with a consistent, vendor-neutral model built on normalized SDLC signals you can trust.
Get Unbiased Clarity
Measure every AI tool with one consistent, objective framework so you can compare real performance.
Match Tools to Workflows
Understand how each tool performs across writing, review, testing, and more to optimize by task.
Invest With Evidence
Use trusted SDLC signals to back decisions on where to scale, cut, or shift your AI tool investments.
Jellyfish gives us a picture of how Copilot is reshaping our organization.
Nicole Nunziata
Director of Technology Operations at Varo
Choose the Right AI Tools with Data
Coverage Across Your Stack
Assess assistants, code-review agents, autonomous agents, and emerging tools in one consistent evaluation model.
Compare Tool Performance
Track cycle time, throughput, and quality signals to identify your top-performing and underperforming tools.
Understand Delivery Impact
See how each tool influences PR velocity and where it accelerates or slows delivery.
Optimize Task Types
Identify which tools excel at writing, refactoring, debugging, reviewing, documenting, and more to choose the right fit for every task.
Include Developer Perspectives
Layer developer feedback alongside quantitative signals to understand tool usability, trust, and real-world preferences.
Integrate Your Full AI Tech Stack
Unify insights across assistants, review agents, and emerging systems without changing existing workflows.
AI Impact Research
In-depth frameworks and guidance to support adoption, measurement, and scaling of AI.
4.5/5 on G2
4.8/5 on Gartner