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The Agentic Context Engine

The foundation that powers Fei Studio and Fei IDE. A unified context system for high-accuracy autonomous execution across real products and real codebases.
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A context layer built for full-cycle AI teammates

Semantic, multi-layered, execution-ready. ACE is the underlying technology that lets Fei Studio and Fei IDE operate on real systems with consistency and reliability.

Context Layer

Multi-layered contextual modeling

ACE builds a structured internal model of the product and codebase, capturing component boundaries, relationships, and behavioral cues used by Fei Studio and Fei IDE.

Maintains linked views across code, APIs, configuration, and UI surfaces

Preserves hierarchical structure for precise navigation and reasoning
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Context Pipeline

Deterministic retrieval and preparation

ACE gathers and prepares relevant system artifacts through controlled extraction pipelines that ensure stable inputs for all reasoning steps.

Uses fixed indexing and scoping rules to resolve required files and components

Produces consistent, reproducible context packages for Fei operations
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System Surfaces

Understanding every layer of modern software systems

ACE interprets the multiple surfaces of real software to build a unified internal context for Fei Studio and Fei IDE.

API Services

ACE models service interfaces by analyzing API definitions and interaction patterns, producing structured views of how services exchange data and depend on one another.

Execution Model

ACE generates standardized internal structures that Fei’s reasoning engine consumes, ensuring consistent behavior even as the underlying system evolves.

System Artifacts

ACE interprets outputs from build systems, design tokens, monitoring tools, and documentation sources, normalizing them into a unified internal model.

Source Systems

ACE indexes repositories, specifications, and design files as first-class objects, mapping commits, issues, and references into the broader system graph.

Built for Enterprise - Guardrails built in

Work on real code without compromising it

Private by Design

AutonomyAI runs entirely within your infrastructure, so no code or data ever leaves your environment.

SOC 2 Certified

Audited controls ensure security, availability, and confidentiality across all enterprise deployments.

Complete Governance

Control access, permissions, and data residency with full auditability and policy enforcement at every layer.