Case Study: ShiftB — AI-Supervised Professional Trading Platform
Client: SoftAtBest (internal) Project: Reference Implementation of a Trading Platform
Challenge
After 20+ years of building trading infrastructure for clients — market data systems, execution platforms, risk management, professional trading GUIs — SoftAtBest set out to answer a fundamental question: can AI, under expert architectural supervision, produce production-grade trading infrastructure?
The goal was not a demo or prototype, but a reference implementation built purely from industry specifications, with no legacy debt and no vendor dependencies.
Approach
SoftAtBest developed a new model for building trading infrastructure:
- Expert architects define the architecture, quality standards, and design decisions
- Claude Code (Anthropic's AI coding agent) writes the implementation under continuous supervision
- AI agents both implement and self-validate. Every change runs through a multi-stage automated QA pipeline covering code correctness, architectural conformance, and documentation completeness. Only changes that clear every gate are opened as PRs for expert review — entire categories of bugs that have caused production incidents in trading systems for decades never reach a human reviewer
The architect designs. The AI implements. Multi-stage automated QA validates. The expert reviews.
What Was Built
ShiftB covers the pipeline from high-frequency data receive to cross-platform trading frontends:
- Market Data — direct exchange and regulatory feeds for U.S. equities, with every protocol parser built directly from exchange specifications
- Real-Time Distribution — binary streaming to any number of clients with per-client state tracking and consolidated views
- Interactive Monitoring — terminal client for real-time market data browsing, system health, and feed diagnostics
- Trading Frontend — cross-platform GUI prototypes from a single business logic core, supporting multiple rendering frameworks
Results
ShiftB demonstrates that agentic engineering — combining domain expertise with AI implementation capability — can produce trading infrastructure that meets professional standards of correctness, performance, and maintainability.
ShiftB is the proven blueprint SoftAtBest adapts to specific client requirements in trading infrastructure engagements.
Key Takeaway
The success of ShiftB validates a new approach to building complex financial systems. AI doesn't replace the architect — it amplifies them. With the right supervision model and a robust multi-stage automated QA pipeline, AI can implement production-grade systems code at a pace that would be impossible for a human team of equivalent size.