Frequently Asked Questions
Find answers to common questions about Kavia.ai, our enterprise AI code assistant that automates the entire software development lifecycle.
Getting Started
Kavia.ai is an enterprise AI code assistant that automates the entire software development lifecycle (SDLC). Unlike IDE plugins or consumer copilots, Kavia combines GenAI software development with an Enterprise Knowledge Graph that maps dependencies across legacy and brownfield codebases. Its micro-agents generate, analyze, and modernize code securely, accelerating transformation projects at enterprise scale. Explore Kavia free or book a demo to see it in action.
Kavia indexes your existing code with its Enterprise Knowledge Graph, mapping dependencies and surfacing risks. Micro-agents then refactor, upgrade, and modularize systems safely, ensuring modernization without breakage while maintaining secure AI development at enterprise scale. This accelerates digital transformation in brownfield environments where manual rewrites would take years. Request a tailored demo for your environment.
Kavia supports any programming language that today's large language models are trained on, making it flexible enough for both modern and legacy environments. This includes widely used enterprise stacks such as Java, C#, Python, C/C++, COBOL, and .NET, in addition to modern frameworks like JavaScript, TypeScript, React, Next.js, and Node.js. For brownfield projects, Kavia's Enterprise Knowledge Graph ensures safe handling of older and complex systems, mapping dependencies across repos without breakage. Unlike IDE-only copilots, Kavia also supports multi-repo orchestration and secure AI development across enterprise-scale systems.
Enterprise Value
By automating planning, code generation, testing, and deployment, Kavia reduces cycle times by up to 60%. As an enterprise AI code assistant, it produces user stories, acceptance criteria, and production-ready code, helping leaders ship features faster and respond to market needs.
Yes. Kavia removes repetitive coding and debugging tasks while enabling multi-team collaboration through its Enterprise Knowledge Graph. This ensures enterprise software automation across repos, giving developers more time to innovate. ROI is amplified by adopting a GenAI software development platform like Kavia, which drives measurable gains in feature velocity.
ROI comes from faster delivery, fewer defects, and reduced reliance on contract developers. The biggest payoff is in legacy code modernization: unlocking agility in brownfield codebases where technical debt slows innovation. Enterprises adopting a GenAI software development platform like Kavia report measurable time and cost savings. Book a ROI workshop demo.
Security & Compliance
No. Kavia follows a zero data retention policy: your code and prompts are never used to train shared models. Enterprises can deploy in private cloud or VPC-isolated environments to ensure total control.
Yes. All data is encrypted at rest and in transit, with full role-based access controls. Enterprises in regulated industries use Kavia for secure AI development. By combining strong privacy with enterprise software automation, Kavia delivers both agility and compliance at scale.
Kavia maintains an audit trail of all AI actions and user edits, ensuring transparency and regulatory readiness. Unlike consumer copilots, it is designed for enterprise governance—supporting audits, approvals, and compliance reporting. Enterprises can also disable features, restrict AI behavior, or enforce custom policies to align with internal compliance frameworks. Request a demo for more details.
Integrations & Scalability
Yes. Kavia integrates seamlessly with GitHub, (and more in the works) enabling CI/CD workflows while maintaining enterprise deployment standards. Unlike IDE-only copilots, Kavia's GenAI software development platform integrates across the SDLC, helping enterprises modernize while preserving DevOps best practices.
Yes. Kavia is designed for distributed engineering organizations. Its Enterprise Knowledge Graph ensures dependencies are consistent across repos, enabling multi-team collaboration at enterprise scale.
Yes. Kavia supports hybrid and on-premises deployments. Sensitive codebases can be kept fully isolated while still leveraging Kavia's automation features, making it ideal for highly regulated industries.
Enterprise plans do not have to be restricted by token quotas in the way consumer AI assistants are. However, admins can set internal thresholds, monitor usage, and configure alerts for high-demand scenarios. This prevents runaway consumption and ensures predictable performance even when thousands of developers are using Kavia simultaneously.
Yes. Kavia supports plugin-style micro-agents and custom integrations. Context is passed securely through the Enterprise Knowledge Graph, ensuring that each integration—whether it's a CI/CD pipeline, a project management tool, or an external API—receives only the data it needs. This provides the flexibility of a Copilot Extension-like model but with stronger enterprise governance and visibility. Learn more in a demo of Kavia's extension framework.
Competitive Differentiation
Copilot accelerates individual coding with snippets. Kavia automates the entire SDLC—planning, code, testing, deployment—across enterprise teams. With its Enterprise Knowledge Graph and secure deployment options, Kavia is purpose-built for large, regulated organizations. Unlike Copilot, it supports full legacy code modernization at scale. See the difference in a demo.
Other tools embed AI inside IDEs, offering productivity boosts for single developers or small teams. Kavia is a GenAI software development platform that orchestrates planning, refactoring, modernization, and deployment across thousands of engineers. For enterprises with brownfield codebases, only Kavia provides modernization, compliance, and secure AI development at scale.Read our detailed comparisons: Kavia vs Windsurf and Kavia vs Cursor.
Warp Code emphasizes terminal-based prompt-to-production with zero data retention. Claude Code excels at agentic workflows across files. Both are powerful for individuals or small teams. Kavia expands further: enabling secure AI development, cross-repo orchestration, and legacy code modernization at scale.
Building an in-house AI dev assistant requires scarce expertise, ongoing training, and large budgets. Kavia is an enterprise product continuously updated and enterprise-ready, reducing risk and accelerating time-to-value.
Kavia avoids per-token billing complexity by offering predictable enterprise-scale plans. For example, where Claude Code or Cursor charge per token or model call, Kavia's efficiency comes from reusing context in its Enterprise Knowledge Graph. A single orchestration run can cover what might take multiple costly queries in other tools. This makes Kavia more cost-effective for enterprises running continuous GenAI software development across large codebases.
Claude Code emphasizes large context windows for editing multiple files, and Cursor highlights embeddings for navigating complex codebases. Kavia goes further by creating a persistent Enterprise Knowledge Graph, enabling subagent orchestration across modules, repos, and teams. This ensures consistency and scalability that single context window tools cannot match.For more details, see our comprehensive Cursor comparison.
Plans & Pricing
Kavia offers multiple tiers. The Standard plan provides core GenAI software development features for teams looking to accelerate projects. The Enterprise plan adds the capability to have: Private cloud or VPC deployment for secure AI development, Advanced governance and policy controls, Audit trails and compliance reporting, Scale for legacy and brownfield codebase modernization, Dedicated forward deployment engineers and enterprise support. This ensures large organizations get the security, scalability, and support they require. Contact us for a detailed plan comparison.
Enterprise plans need not be token-limited like consumer tools. However, admins can set internal thresholds, monitor usage, and configure alerts for high-demand scenarios. This prevents runaway consumption and ensures predictable performance even when thousands of developers are using Kavia simultaneously.
Support & Troubleshooting
If Kavia fails to connect, check your firewall, VPN, or proxy settings. Enterprise deployments may require allowlisting specific domains. Logs and diagnostic tools are available within the admin dashboard, and enterprise support can provide step-by-step troubleshooting.
Kavia ships regular updates with model improvements, integrations, and security patches. Release notes are available from the dashboard, and an in tool - Ask Kavia - help chatbot feature -ensuring leaders track progress transparently.
Kavia offers support, dedicated solution architects, and forward deployment engineers to accelerate onboarding. As an enterprise AI code assistant, it includes training and certification programs for enterprises.
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