Agentic AI coding.
Zero cloud exposure.
AirgapAI Code is a terminal-native autonomous software engineering platform that runs entirely inside your security perimeter. No source code ever leaves your network.
# Analyzing repository structure...
# Found 47 files across 12 modules
@Architect designing auth middleware pattern
@Security reviewing token storage strategy
@QA generating test plan (18 cases)
Editing src/middleware/auth.ts
Editing src/services/token.ts
Editing src/routes/auth.ts
Creating tests/auth.test.ts
Running test suite...
18/18 tests passed
Ready for review // 0 bytes transmitted externally
Not an autocomplete. An autonomous engineering platform.
AirgapAI Code executes the full development loop: understand, plan, modify, run, validate, and commit. It works across your terminal, IDE, and CI/CD pipelines with human-in-the-loop approval gates.
- Single-file snippet suggestions
- Copy/paste workflow
- No command execution
- Minimal governance
- Cloud-mediated processing
- Repository-scale reasoning
- Direct filesystem execution
- Runs builds, tests, git ops
- Enterprise policy controls
- Customer-owned perimeter
Terminal CLI
Full agentic execution in secure shell environments. Scriptable, composable, and pipeline-ready.
VS Code / Codium
Inline diffs, architectural planning, and workspace-aware context directly in your editor.
JetBrains IDEs
Interactive coding and review across IntelliJ, PyCharm, WebStorm, and the full JetBrains family.
Web / VDI
Thin-client browser workflow optimized for virtual desktop fleets and centralized environments.
CI/CD Pipelines
Automated review, remediation, and test execution as part of your existing DevOps workflows.
Purpose-built for secure, autonomous software delivery
From code generation to security review to CI/CD remediation, AirgapAI Code covers the full engineering lifecycle inside your perimeter.
Autonomous Code Development
Takes a natural language objective and executes it across the entire repository: generates code, refactors across files, creates tests, runs build and validation loops, and iterates until acceptance criteria are met.
airgap "implement feature X, write tests, fix failures"Security Analysis
Semantic vulnerability reasoning with exploitability assessment, patch-ready remediation PRs, and human approval checkpoints. Runs fully offline against classified repos.
Git Workflow Automation
Branch creation, selective staging, structured commits, PR/MR creation with summaries and risk notes, and semantic merge conflict resolution.
CI/CD Integration
Plugs into existing git-based workflows. Automates broken pipeline fixes, flaky test remediation, and formatting drift correction.
MCP Connectivity
Connect to on-prem Jira, internal wikis, secure messaging, and custom enterprise systems through the MCP-compatible connector framework.
Governance Layer
Project instruction files, custom commands, lifecycle hooks, model version pinning, and org-level policy packs for enterprise-wide standards.
AIRGAPAI.md + /security-review + hooksParallel specialist agents, not just parallelism
Entourage Mode orchestrates purpose-built sub-agents that bring role clarity, consistent review lenses, and cross-functional engineering rigor without extra meetings.
A virtual engineering team for every task
Each agent applies a specialized lens to your code: architecture, security, quality, and operations. They work in parallel, producing structured outputs that feed back into a unified engineering decision.
@Architect evaluating token exchange patterns...
@Security modeling PKCE + DPoP threat surface...
@QA generating 24 test scenarios...
@DevOps preparing staging environment config...
Interfaces, tradeoffs, dependency choices, and structural patterns.
Secure-by-default patterns, vulnerability triage, and remediation plans.
Test generation, edge cases, regression strategy, and coverage gaps.
Pipeline fixes, deployment scripting, and environment parity checks.
Three layers. All inside your perimeter.
AirgapAI Code is built around customer-controlled model endpoints within the enclave. No external dependencies required.
Developer Surfaces
- CLI agent (terminal)
- VS Code / JetBrains extensions
- CI/CD runner agents
- Web / VDI browser clients
Governance + Orchestration
- Policy engine (RBAC, permissions)
- Audit logging + telemetry
- MCP connector runtime
- SSO / SAML / OIDC integration
On-Prem Inference
- Customer-controlled GPU cluster
- Approved model registry
- Version pinning + update control
- Dedicated security review profiles
Request
User defines task
Plan
Decompose + reason
Execute
Read, edit, run, test
Validate
Tests, lints, scans
Deliver
Diffs, commits, PRs
Security is architectural, not bolted on
AirgapAI Code runs on customer-controlled infrastructure within accredited boundaries, using approved identity, logging, and change control systems.
Complete Data Sovereignty
All code, prompts, and artifacts remain inside your security perimeter. Zero mandatory telemetry. All outbound communications can be disabled by design.
No Training on Your Code
Deployment model completely isolates customer repositories from any external model training pipeline. Your intellectual property stays yours.
Enterprise Identity
SSO via SAML/OIDC, SCIM provisioning, and role-based policy enforcement integrate with your existing identity infrastructure.
Full Auditability
Centralized logs capture every tool action, AI-assisted change, and policy enforcement event. SIEM/SOAR integration ready.
Cloud coding tools vs. AirgapAI Code
The market has proven that agentic coding works. AirgapAI Code removes the adoption blocker for environments that cannot accept cloud data exposure.
Cloud-Based Coding Agents
- Code processed on vendor cloud infrastructure
- Accreditation path often blocked by egress risk
- Vendor-managed model roadmap and versioning
- SaaS-first integration approach
- Security layered onto cloud workflow
- Limited control over data retention
AirgapAI Code
- Code stays inside customer enclave
- Accreditation aligned by architecture
- Customer-approved models with version pinning
- On-prem-first MCP connectors
- Security is inherent: zero external transmission
- Full customer control over retention and logs
Deployment Options
On-Prem Data Center
Centralized inference cluster with distributed IDE and CLI clients across the enterprise.
Private Cloud
Deploy into your approved VPC or VNET for organizations standardizing on internal cloud platforms.
Air-Gapped / Disconnected
Offline packages with signed updates for classified and mission-disconnected networks.
VDI / CI/CD Agents
Virtual desktop integration and pipeline automation for centralized engineering operations.
ROI Framework
Cycle Time Reduction
Faster implementation and iteration through autonomous task execution.
Rework Reduction
Fewer defects through automated testing and pre-commit validation loops.
Throughput Increase
More PRs shipped per developer without proportional headcount growth.
Time to Payback
Payback measured in weeks, not quarters, when deployed broadly across engineering.
Cloud-grade autonomous coding. Inside your security boundary.
AirgapAI Code delivers the productivity upside of agentic development while meeting the operational reality of defense, critical infrastructure, and regulated enterprise environments.