Fde Simulation — Development skill for Claude Code

FDE Simulation

Hands-on simulations of the Forward Deployed Engineer role. Run a full customer engagement on synthetic but realistic case studies — identify problems, scope wedges, build working agent prototypes, ship eval suites, hand off to production. Then score every artifact against the reference, detect the traps a senior FDE would catch, defend your build under a 5-minute hostile grill, and bundle the result as a portfolio piece.

About

Forward Deployed Engineering (and its equivalents — Solutions Architect, AI Strategist, Agent Strategist, Deployed PM) is customer-embedded technical product work. The day-to-day is: scope an enterprise engagement, identify the highest-value workflow to automate, design a multi-agent system, build a prototype, validate with stakeholders, hand off to production.

There's almost no public material that simulates this end-to-end. Most "AI engineering" tutorials skip the customer-engagement work; most product courses skip the agent architecture. This repo fills the gap with runnable simulations grounded in the actual shape of the job.

What you can do with it:

• Run a 4-week customer engagement end-to-end on two fictional cases (insurance + finance), with synthetic data and working Python agent prototypes
• Identify and scope problems using six discovery frameworks on a real-feeling customer brief (12-stakeholder political maps, kill-criteria framing, 4-source convergence)
• Build agents by extending the prototype scaffolds — 5-7 specialized agents per case, hybrid deterministic + LLM, examiner-readable audit traces
• Ship eval suites with pass^k=5 production thresholds, weighted by failure cost, including adversarial cases
• Practice the customer-facing craft via Claude-roleplay stakeholder interviews and live customer-simulation rounds
• Score your work against the reference solution per phase via a structured rubric (0-3 × 5 dimensions) with a JSON sidecar so progress across attempts is trackab