Some AI coding tools help you write code faster.But large engineering organizations don’t need just speed. They need to build code with context.
On February 25th, we’re hosting a live KAVIA product release update focused on our recent release shipped in V1.1.0. These are capabilities designed for engineers working inside complex, multi-repository environments. Here’s what we’ll cover:
🔹Code Wiki - A living, searchable documentation of your codebase that documents architecture, requirements, features and implementation, so engineers, architects and product managers can understand the entire system before changing them.
🔹 Skills - Reusable AI workflows that encode your organization’s standards, preferred frameworks, and engineering conventions applied automatically during code or document generation, triaging or reviews
🔹 MCP Integration (coming shortly) - Direct connectivity between KAVIA and your existing development tools and infrastructure, so AI orchestration happens inside your workflow, not outside it
🔹 Manifest Ingest Enhancements - For ingesting ultra large repository structures (Example for large device codebases like RDK, Android and Purple)
If you’re building or modernizing enterprise systems, this release is about one thing: Moving from isolated code suggestions to governed, traceable, context-aware orchestration.We’ll walk through live demos with our engineering team and take technical questions at the end.
📅 February 25
🎥 LinkedIn Live
🔗 Register here: https://dub.sh/SEHq01Z
If you’re curious, you can also explore limited capabilities today at chat.kavia.ai — but for teams serious about modernization, we recommend starting a structured pilot. Let’s build software with understanding.
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