KT Mode: AI-Powered Knowledge Transfer for Teams and Onboarding

Every engineering team faces the same problem: critical knowledge lives in people's heads, not in documentation. When a senior engineer leaves, takes vacation, or simply moves to a different project, the institutional knowledge about why certain architectural decisions were made, how specific systems work, and where the hidden gotchas are goes with them. This is the knowledge transfer problem, and it costs companies thousands of hours every year in re-discovery and duplicated effort.

Gonu AI's KT Mode is designed to solve this by making knowledge capture effortless. Instead of asking developers to write documentation after the fact — which rarely happens and is always incomplete — KT Mode captures knowledge in real time as the expert explains it, with screen recording, voice transcription, and code context woven together.

How KT Mode Works

KT Mode activates a combined capture pipeline: screen recording captures exactly what the developer is looking at, voice recording captures their verbal explanation, and the coding agent tracks which files, functions, and code paths are being discussed. The AI synthesizes all three streams into a structured knowledge artifact — a document that includes annotated screenshots, transcribed explanations, code references with links to specific lines, and a summary of the key concepts covered.

The process is simple. The developer activating KT Mode opens the relevant code or system, starts talking through how it works, navigates through files and configurations as they normally would, and stops when they are done. The AI handles the rest — structuring the raw capture into something a new team member can follow.

Onboarding New Team Members

The most obvious use case is onboarding. When a new developer joins the team, instead of scheduling multiple hours of knowledge transfer sessions with busy senior engineers, the new hire can review KT artifacts at their own pace. The artifacts show exactly what the screen looked like, what the expert said about each section, and which code files are involved.

This does not replace live interaction — new hires still need to ask questions and pair program. But it dramatically reduces the amount of time senior engineers spend repeating the same explanations for every new joiner. Record the explanation once, and it is available forever.

Capturing Architectural Decisions

Some of the most valuable knowledge in a codebase is not the code itself but the reasoning behind it. Why was this particular database schema chosen? Why does this service communicate over gRPC instead of REST? Why is there a 30-second timeout on this particular endpoint?

KT Mode makes it natural to capture these decisions as they happen. When an architect walks through a design with the team, the KT session captures the explanation alongside the actual diagrams, code, and documentation being referenced. Months later, when someone asks "why did we do it this way?", the answer is in the KT artifact — complete with the original context and reasoning.

Code Walkthrough Sessions

Complex subsystems often need guided walkthroughs — the payment processing pipeline, the data ingestion layer, the authentication flow. These walkthroughs typically happen in ad-hoc meetings or pair programming sessions and are never recorded. With KT Mode, the senior developer opens the codebase, narrates the flow as they navigate through files, and the AI captures everything.

The resulting artifact includes a step-by-step narrative, annotated code blocks showing the execution path, and cross-references between related files. It reads like a guided tour of the codebase — because that is exactly what it is.

Multi-Participant Knowledge Sharing

KT Mode is not limited to one-to-one transfers. In a team meeting where multiple people contribute knowledge about a system, the AI tracks all speakers and attributes explanations accordingly. This is particularly useful for post-mortem sessions, architecture reviews, and sprint retrospectives where collective knowledge is being shared and should be preserved.

Integration with Session History

All KT sessions are saved to your session history and synced to the web dashboard. You can search across past KT sessions by topic, speaker, or code reference. Over time, your team builds a searchable knowledge base that grows organically — not through forced documentation sprints, but through the natural act of explaining things to each other.

Getting Started

KT Mode is available on the Pro plan. Download Gonu AI, open a workspace, activate KT Mode from the session builder, and start capturing knowledge. The AI analyzes your project architecture, generates a topic plan, creates slide-style explanations with code walkthroughs, opens relevant files in VS Code, supports interactive Q&A, and generates full KT documentation. Your team will thank you — not when you record the first session, but when someone finds the answer they need six months later without having to interrupt anyone.