G-CODER - Air-Gapped, Council-Reviewed Autonomous AI Developer.

G-Coder is an enterprise-grade autonomous AI pair-engineer as a service. It pairs a branded desktop IDE (a custom Code-OSS / VS Code fork) running on the developer’s local machine with a private, air-gapped AI inference contour. Driven by an observable Multi-Agent Council and grounded by two-stage RAG against OWASP/CWE security doctrines, G-Coder builds, audits, and deploys production-ready code with Human-on-the-Loop control and zero cloud data leaks.

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Hi Product Hunt! 👋 I’m Taras, Founder & Director at AlfaCan Defence Group Limited. When building software for high-security enterprise, fintech, or defense environments, engineering teams always face a painful trade-off: use powerful cloud AI assistants and risk leaking proprietary code, or go completely offline and lose the massive productivity boost of modern LLMs. We built G-Coder to eliminate that compromise entirely. G-Coder pairs a custom desktop editor (a fork of Code-OSS/VS Code) running locally on the developer's machine with a private, air-gapped AI inference contour. To ensure maximum precision, speed, and safety, we engineered a transparent Multi-Agent Council where distinct AI models act as specialized engineering roles: 🧠 GLM-5.2 (The Main Brain & Validator): Acts as the core reasoning engine and validator, performing deep architecture analysis, complex logic validation, and final sanctioning of generated code. 🎯 Gemma-4 26B (The Orchestrator): Handles intent parsing, task decomposition, workflow planning, and interactive developer dialogue. ⚡ Qwen3-Coder 30B (The Generator): Delivers high-throughput patch synthesis and instant code generation across languages. 🧐 Qwen3-30B Thinking (The Reviewer): Conducts rigorous Chain-of-Thought (CoT) security audits, checking every patch against two-stage RAG-retrieved OWASP/CWE doctrines before code is applied. 👁️ Real-time Transparency & Human Override: The era of black-box "vibe coding" is officially over. With G-Coder, the developer isn't just waiting for a finished block of code — you watch the Agent Council debate, reason, and plan their implementation strategy in real time. At any moment, you can step in, modify the concept, adjust the architectural route, or steer the logic before a single line of final code is written. You remain in absolute control to ensure the end product is precisely what you need. By offloading standard editor compute locally and routing heavy inference through private Multi-LoRA MoE clusters, G-Coder cuts GPU infrastructure overhead by up to 85% while enforcing strict Human-on-the-Loop authorization. Whether you care about zero-trust security, air-gapped compliance, or want full visibility and control over your AI agents — we’d love for you to try G-Coder! Check out our studio at and let us know your thoughts and questions below!