Business · AI Products
Security, Cost, and Audit Readiness Covered.
On-Premise AI Coding: Athena Code Assistant
An enterprise AI coding tool that runs in a fully air-gapped network, with no external internet. It supports both IDE plugins and a terminal CLI. Code generation, legacy analysis, audit logging, and cost control are all covered, so the tool serves the whole organization rather than coding alone.
Core Features
Memory, Analysis, and Control
These are the actual product screens, showing the capabilities enterprise development teams need.
Graph DB
Legacy Code, Seen at a Glance as a Graph
Class and function call relationships are visualized as nodes and edges. Even in a large legacy codebase, the structure and the blast radius of a change are immediately clear.
Memory Bank
Context Survives the Session
Key decisions, tasks, and patterns are kept in short-term and long-term memory layers. Project context is not lost between sessions.
Audit Log
Every AI Request Logged and Exportable
Search the full request history by timestamp, team, user, model, token count, and cost. It can be submitted to an internal audit as is.
Usage Monitor
Costs in Real Time, Limits Set in Advance
Request counts, cost, and token usage are aggregated by user, team, budget, and model, and can be narrowed by period and condition. Download to Excel for chargeback. Per-user and per-team limits block budget overruns before they happen.
Admin Dashboard
Organization-Wide AI Usage on One Screen
Request volume and errors, request distribution by provider, active user counts, and the most requested models all appear on one screen. Average cost and token usage are aggregated alongside them, giving a read on AI operations across the organization.
Workflow
It Does Not Break the Development Flow
Context Mention
Attach Context with a Single @
Reference files, folders, the terminal, Git, and URLs with the @ symbol to hand the AI exactly the information it needs.
Slash Commands
Repetitive Work in a Single /
Register frequently used task patterns as slash commands and run them instantly, with no prompt to write. Commands a team defines are shared through the marketplace.
Rules
Team Coding Rules Applied Automatically Across Every IDE
Rules defined by leads and senior engineers reach every team member’s IDE immediately. Violations are caught as code is written, with an automatic fix suggested. Shared organization rules and project-specific rules are managed separately.
Checkpoint
Automatic Snapshot Before Every Edit, Restore Anytime
A Git-based snapshot is created automatically before a file is modified. A mistake rolls back to any point you choose.
Comparison
Core Feature Comparison
Each product is optimized for a different environment and purpose. This table is a reference, compiled from publicly available material, on which major features each product supports.
| Feature | Cursor | Claude | Copilot | Athena Code |
|---|---|---|---|---|
| Code autocompletion | Supported | Supported | Supported | Supported |
| Whole-codebase context understanding | Supported | Supported | Supported | Supported |
| IDE support (VS Code) | Supported | Supported | Supported | Supported |
| IDE support (IntelliJ / JetBrains) | Supported | Supported | Supported | Supported |
| IDE support (Eclipse) | Not supported | Not supported | Supported | Supported |
| Long-term context retention (across sessions) | Supported | Supported | Not supported | Supported |
| Fully air-gapped operation | Not supported | Not supported | Not supported | Supported |
| On-premise deployment | Limited supportCode execution only; AI inference still goes through the cloud | Not supported | Not supported | Supported |
| Air-gapped CLI operation | Not supported | Not supported | Not supported | Supported |
| Real-time team usage and cost monitoring | Limited support | Limited support | Limited support | Supported |
| Automated audit logging and export | Limited support | Limited support | Limited support | Supported |
| Team coding standard synchronization | Limited support | Not supported | Not supported | Supported |
| Graph DB code structure visualization | Requires installing and integrating a separate external tool | Supported | ||
As of June 2026 (CLI rows as of September 2026) / based on official documentation and published materials△ : Limited support, or available only on a higher (Enterprise) plan
Enterprise Ready
It Starts Where Other AI Coding Tools Stop
Cloud-based tools cannot even connect inside a secured network. Athena Code Assistant is designed for enterprise environments where network isolation, auditing, and cost control are mandatory.
Air-Gapped Architecture
Fully Air-Gapped, Different from the Architecture Up
Lightweight sLM on-device inference lets the tool work independently on an internal network with no external internet. The sLM Router connects public or private LLMs according to organizational policy. Alongside the three IDE plugins, a CLI runs directly in the terminal, which covers bank core systems and government administrative networks that operate by command line alone.
Beyond Developers
Beyond Developers, to the Whole Organization
Code generation and review, document automation, and SQL and report generation for business users. It grows into an AI tool for the entire organization.
Flexible Sizing
From a Single Laptop to a Team Server
Sizing runs from a high-performance personal laptop to a shared team GPU server. A single RTX PRO 6000 realistically supports a team of six to ten.
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Athena Code Assistant Product Overview
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