V7-Twin.ai

V7-Twin.ai is an autonomous Digital Twin Multi-Agent Simulation Console designed to automate the software development lifecycle. Developed for the Band of Agents Hackathon 2026, the platform functions like a high-performance V7 engine, orchestrating parallel workflows across seven specialized agents: Architect, Frontend, Backend, Reviewer, Tester, Writer, and Release Manager. The console accepts a plain-English feature request to launch its pipeline. The Architect designs the spec, while the Frontend and Backend agents generate React and FastAPI code. The standout innovation is the self-healing remediation loop: if the Code Reviewer agent finds bugs, it rejects the code and publishes remediation tickets. The developer agents automatically consume these tickets, revise their implementations, and resubmit them until quality standards are met. Once approved, the QA Tester generates pytest suites, the Tech Writer compiles markdown READMEs, and the Release Manager approves the build. All agents communicate in real time over the Band SDK Event Bus, displaying messages and logs transparently in the console. Powered by Llama 3 on AIML API for reasoning and Qwen 2.5 Coder on Featherless AI for coding, V7-Twin.ai is built using FastAPI and Neon PostgreSQL for persistent session history. For enterprise-grade security, the entire pipeline is deployed inside an Intel SGX Trusted Execution Environment using Gramine. This cryptographically seals LLM API keys and prompt logs in enclave memory, secure from server admin exploits. Combined with Supabase JWT authentication and trigger rate-limiting, V7-Twin.ai shows how future software engineering can evolve from isolated code generation into secure, coordinated, self-correcting agent teams.