I have an enterprise-grade idea that still lives entirely in my head, and I want to stress-test it before a single line appears in a repo. Your mission is to walk through the concept with me, surface every potential logic flaw, security loophole, and, most importantly, any performance trap that could cripple scalability under load. You’ll turn vague intentions into a bulletproof architecture: capacity models that show how the system flexes from day-one traffic to sudden surges, design notes that explain why each module resists contention, and forecasts of where bottlenecks might emerge years down the road. I also expect forward-looking documentation that captures features we haven’t even imagined yet, written clearly enough that future developers can build against it without second-guessing the intent. If you can specify patterns for self-healing code—think automated failover rules, circuit-breaker strategies, or predictive autoscaling scripts—so much the better. I’m comfortable discussing models, UML, C4 diagrams, load-test scenarios, or whatever tooling you prefer (Mathematica, JMeter, chaos-engineering suites, you name it). What matters is that the final artefacts leave us confident about performance and ready to ship with scalability baked in. Deliverables (acceptance criteria) • Architecture blueprint showing data flows, concurrency limits, and fault-tolerance paths. • Written analysis of anticipated performance hotspots with mitigation strategies tied to measurable thresholds. • Future-proof documentation outlining extension points and guiding principles for unbuilt features. • Optional: prototype self-healing routine or reference implementation that demonstrates the resilience concepts. I’m ready to jump on a call, share the raw idea, and let you work your predictive magic.