You can code by talking to AI, but your team's hard-won knowledge dies in Slack threads and forgotten browser tabs. Every breakthrough stays locked in someone's head—or worse, lost in their command history.
The Discovery Problem
Your team discovers the same solutions three times. Everyone's learning, no one's sharing.
The Hoarding Reality
Your best engineers are hoarding game-changing discoveries. Not on purpose—there's just no natural way to share them.
Native modalities for everyone: Voice for humans, MCP for agents
Describe code architecture, debug sessions, or technical concepts naturally. No context switching, just speak and capture.
AI agents extract code snippets, generate documentation, create knowledge graphs, and link related concepts automatically.
Your team's knowledge becomes accessible to Claude, Cursor, and other MCP-enabled tools.
Your team's voice-captured knowledge, instantly accessible in every AI tool you use
AI understands your codebase patterns and decisions instantly
No context switching—knowledge surfaces right where you code
Every debugging session becomes future team wisdom
New developers productive from day one with full context
Capture knowledge from every interaction. No context switching required.
Team meetings → Quick Posts
Tool Discoveries
New libraries & frameworks that helped
Problem Solutions
How we fixed tricky bugs & issues
Prompting Strategies
Effective AI patterns & techniques
LiveKit Agents identify speakers & attribute ideas
Background knowledge extraction
Pair Programming
Capture reasoning behind implementations
Debug Sessions
Document root causes & fixes
Onboarding Sessions
New team member ramp-up captured
Privacy-first: Team controls when & where to capture
Launching Late 2025
Transform team conversations into queryable technical documentation
Explain that tricky algorithm, describe your architecture decision, or walkthrough debugging steps using natural speech.
Specialized agents identify code snippets, technical concepts, dependencies, and create rich documentation with proper formatting.
Your insights are connected to existing team knowledge, tagged by technology stack, and organized into searchable collections.
Access team knowledge directly from Claude Code, Cursor, Cline, etc. Allow your agent to get instant, contextual answers from your team's collective insights.
Whether you're shipping code or building community, Finchly adapts to your workflow
Share code snippets, architecture decisions, and debug sessions through voice. Your AI agents can access everything via MCP servers.
Join engineering teams building their voice-powered knowledge hubs
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