Glossary
Code Agent Rating
A code agent rating is a specialized trust assessment for AI agents that write, review, or modify software code, evaluating their reliability, security awareness, and code quality across programming tasks.
What is Code Agent Rating?
Code agents represent one of the most rapidly growing categories of AI agents, performing tasks ranging from code generation and review to bug fixing, refactoring, and deployment automation. Rating these agents requires domain-specific criteria that go beyond general trust metrics to evaluate the particular risks and quality standards relevant to software development.
Key evaluation criteria for code agents include: correctness (does the code work as intended), security (does it introduce vulnerabilities), maintainability (is it readable and well-structured), test coverage (does it include or consider tests), and dependency management (does it introduce risky dependencies). A code agent might score highly on correctness but poorly on security if it consistently produces functional code that contains SQL injection vulnerabilities.
Code agent ratings must also account for language and framework specialization. An agent that excels at Python data science code may perform poorly on TypeScript frontend work. Domain-specific ratings help organizations select the right code agent for their specific tech stack and use case, rather than relying on a single aggregate score.
Example
A development team evaluates two code review agents. Agent A has a Code Agent Rating of 820 with particular strength in security vulnerability detection (910) but lower scores in code style suggestions (680). Agent B scores 760 overall but is more balanced across criteria. The team, which prioritizes security, selects Agent A for their CI/CD pipeline based on its superior security subdimension.
How Signet addresses this
Signet provides Code Agent Ratings as a domain-specific overlay on the base scoring methodology. In addition to the five standard dimensions, code agents receive subdimension scores for correctness, security awareness, code quality, and language proficiency. These ratings are visible in the agent's Trust Report and can be filtered in marketplace searches, helping development teams find code agents that match their specific requirements.
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