PHRAXIS - Voice to Production Quantum Opt System

Every software team knows the pattern: a 10-minute meeting where everyone agrees on a feature, then nothing ships for weeks. PHRAXIS removes that gap entirely. A developer speaks a feature request out loud, and PHRAXIS delivers a production-ready, quantum-optimized GitHub pull request in under 4 minutes. PIPELINE: 1. SPEAK - Developers describe features naturally through browser voice input, with optional text fallback. 2. TRANSCRIBE - IBM Watson Speech-to-Text converts audio into structured text with timestamps and confidence scoring. 3. EXTRACT - IBM Natural Language Understanding identifies developer intent, target modules, parameters, and constraints. Structured output is stored in IBM Cloudant. 4. QUANTUM OPTIMIZE - IBM Quantum QAOA calculates the optimal subset of files to modify before generation begins. Classical evaluation across N candidate files requires 2^N combinations. At enterprise scale (N=50), that exceeds 1 quadrillion possibilities. IBM Quantum evaluates the solution space simultaneously and returns the conflict-free optimal change set, directly guiding IBM Bob’s planning workflow. 5. GENERATE - IBM Bob reads the full repository in Architect mode, receives the quantum-selected files, plans implementation in Plan mode, and writes production-ready code in Code mode that matches existing repository patterns instead of generating generic boilerplate. IBM Granite via watsonx.ai pre-analyzes the codebase, while watsonx Orchestrate coordinates the pipeline. 6. SHIP - Bob Shell executes /review on generated code, and the GitHub API opens a pull request containing the transcript, optimization result, and Bob session IDs. IBM Bob is the execution engine behind PHRAXIS. IBM Quantum determines exactly which files Bob modifies, producing mathematically conflict-free pull requests at enterprise scale.