Abstraction builds a semantic model of an entire codebase, giving software teams and AI agents a shared, always-current understanding of the system. The platform compiles source code into a deterministic knowledge graph that powers auto-validated wikis, process diagrams, system maps, and semantic pull-request reviews. It connects to developer workflows through MCP, enabling context-aware AI assistance in tools like Claude Code and Slack.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Software Only
Funding
Funding not disclosed
Founders
Product
Problem
Software teams face an ever-growing "understanding tax"—the time spent onboarding, reviewing code, and maintaining documentation. With AI agents now writing code faster than humans can read it, traditional methods of sharing context can't keep pace, making code comprehension the true bottleneck in development.
Solution
Abstraction compiles an entire codebase into a precise, always-current semantic model that provides a shared vocabulary for teams, agents, and tools. The platform deterministically cross-validates wiki documentation against the code to eliminate drift, compiles process graphs directly from control flow, and generates system architecture diagrams from source. Every pull request is reviewed through semantic diffs that focus on the meaning of changes, with options to approve or edit the resulting digest to update docs directly. The system plugs into existing workflows via MCP (Model Context Protocol), integrating with tools like Claude Code, Codex, Slack, and Linear to enable faster, sharper answers grounded in real codebase knowledge.
Target Audience
Software development teams and AI agent developers who need reliable, up-to-date understanding of large codebases for onboarding, code review, and documentation maintenance.
Features
- Deterministic semantic compilation of the entire codebase into a continuously updated model
- Wiki system with automatic cross-validation against source code to prevent documentation drift
- Process Graph visualization of business logic compiled directly from control flow, guaranteeing logical correctness
- System Map architecture diagrams generated from source that stay current as the codebase evolves
- PR Review using semantic diffs that focus on change meaning rather than line-by-line differences
- MCP integration for Claude Code, Codex, Slack, Linear, and other tools for context-aware AI assistance