Every revolution in computing created a workspace
Office for PCs. Google for the web. Slack for teams.
Agentic development needs one too.
We're building it.
Visit Principal AI
Principal AI: The Workplace for Agentic Development
Just like Slack created the workspace for team communication, Principal AI creates the workspace for AI development. It's where agents work transparently and context persists.
The workspace that makes AI development make sense. For developers, for everyone.
Context Scaffolding System (CSS)
Patent-pending technology that addresses context loss and management complexity through a version-control-native approach. We integrate four tightly connected layers to revolutionize how AI agents collaborate.
The Problem: Context Loss and Management Complexity
AI turned coding into a team sport between humans, agents, and multiple tools. But current tools operate statelessly. Context is lost everywhere.
Slow & Expensive Searches
Agents search entire codebases for answers, wasting time and resources
Stale Documentation
Documentation lives outside repos and goes stale instantly
Lost Decisions
Teams lose architectural decisions and reasoning over time
External Dependencies
Requires AWS, Supabase for agent memory management
No one has unified context natively within version control. Until now.
Layer 1: Version-Control-Native Memory
Make It Agent Accessible
We move engineering context and human/agent decision data directly into the Git repository (e.g., in a .principalMD/ folder), eliminating the need for external databases for agent memory. This is our core patent-pending technology.
No External Dependencies
No AWS. No Supabase. No Pinecone. Agent memory lives in Git where it belongs.
Always Synchronized
Context is versioned and synchronized automatically with source code
Faster Queries
Agents query the efficient context layer directly, providing faster answers without searching the entire codebase
Layer 2: Living Documentation
Make Agents Reliable
Documentation is versioned and synchronized automatically with the source code using machine-readable associations. When source files change, linked documentation is flagged for review, ensuring consistency and compliance.
Always Accurate
Docs update with every commit through CI/CD
Always Compliant
Audit trails built into version control
Always Accessible
Machine-readable format agents can parse
Layer 3: Agent Monitoring & Visualization
Observability & Visualization
The City Map Visualization renders the codebase spatially and displays real-time agent activity via dynamic styling, providing essential oversight ("proof of work") for autonomous development.
Real-Time Visibility
See what every agent is doing right now
Historical Playback
Reconstruct collaboration history and agent reasoning evolution
Team Oversight
Managers gain visibility without micromanaging
Layer 4: Supervisory Agent Orchestration
Agent Monitoring Over Multiple Repos
A Principal Agent acts as the Principal Engineer, maintaining a shared context graph, assigning inner-loop tasks to subordinate AI agents, and resolving conflicts. This architecture allows agents to query the efficient context layer directly, providing faster answers without searching the entire codebase.
01
Maintains Shared Context Graph
Single source of truth for all agents
02
Assigns Tasks
Distributes inner-loop work to subordinate agents
03
Resolves Conflicts
Detects overlapping changes before they ship
04
Handles Planning
Strategic decisions stay with the supervisor
Why This Works: Git as Database
Competitive Advantage
60-80%
Cost Reduction
We utilize Git as the application's database and focus on leveraging the user's computer to run agent infrastructure, reducing dependency on expensive third-party cloud services
1
Unified Codebase
Our infrastructure runs on a single codebase, ensuring the workspace is consistent across desktop (Electron) and web
Expanded Market
The platform is designed to give vibe coders visibility and a sandbox to interact directly with Git repositories, reducing communication friction with engineers.
Why Now
  • Agentic tools exploding (Cursor, Replit, Claude Skills)
  • From experiments to enterprise-wide rollouts
  • Compliance demands rising in regulated industries
  • Context loss creating developer pain
The gap between code velocity and context management is widening.