Frequently Asked Questions
1. What is Sage?
Sage is a deep contextual analysis platform for your software codebase. It turns source code into plain-language insights your whole team can use — not just developers. Unlike code generators, Sage reveals architecture, business logic, and risks hiding in your systems.
2. How is Sage different from tools like GitHub Copilot or SonarQube?
GitHub Copilot helps generate code, SonarQube checks code quality and security, whereas Sage creates a structured model of your code using the MCP Server, then feeds that context into an LLM. It doesn’t generate code, it lets humans understand and question it in natural language.
3. What problems does Sage solve?
Sage helps organizations:
Unlock knowledge from legacy systems
Accelerate modernization and cloud migrations
Onboard engineers faster
Provide real-time compliance and risk insights
Prepare for audits and M&A due diligence
Improve engineering capability across teams
4. How does Sage work?
Sage connects to your codebase via Git or CI/CD pipelines. It processes code using the proprietary Model Context Protocol (MCP) Server, builds a structured knowledge base, and allows your team to query it using natural language, like asking an expert engineer.
5. What’s the first step to getting started with Sage?
Integrate your codebase with Sage’s MCP Server. This is usually done via a secure cloud setup, but on-premises deployments are also available. From there, Sage builds a contextual model of your system automatically.
6. Does Sage support my tech stack?
Very likely. Sage supports:
Most modern languages: Java, C#, Python, JavaScript, SQL, etc.
Legacy systems: COBOL, C++, and more
Monorepos and multi-repo environments
Sage is particularly effective in complex, mixed-architecture environments.
7. Can Sage be deployed on-premise?
Yes. While Sage is built for cloud integration, enterprise customers can opt for a secure on-premise deployment if required.
8. Does Sage read personal data?
No. Sage only analyses technical assets, such as your codebase, configuration, and metadata. It does not access user data, customer data, or personally identifiable information.
9. Is Sage GDPR compliant?
Yes. Sage meets enterprise-grade security and privacy standards, including GDPR. Code is processed securely, not stored after use, and deployments follow best practice security protocols.
10. How accurate are Sage’s insights?
In untuned environments, Sage consistently achieves over 90% accuracy. For organizations with domain-specific language, Sage can be tuned further to reduce LLM hallucination and increase contextual precision.