When we’re dealing with sensitive business information, I prefer to keep deployments within controlled infrastructure. Seeker’s auditability is highly relevant to how we handle AI-generated code, and its emphasis on traceable outputs is a big help especially when working with our MCP servers and Claude code generations in relation to our core codebase. We integrate it with our Python agents, and it’s also useful for visualizing the responses. Review collected by and hosted on G2.com.
Having to deal with large prompts is very resource-intensive and tends to slow things down, which makes our workflows feel sluggish. I also think the UI could be improved, with some enhancements to make it more beginner-friendly and easier to navigate. Review collected by and hosted on G2.com.
