🚀 The definitive roadmap to becoming a Forward Deployment Engineer (FDE). Master AI Agents, Enterprise Data Architecture, and Strategic Consulting. Bridging the gap between HQ and the field. Inspired by the "Delta" role at Palantir, OpenAI, and Scale AI.
给你的 Agent 配个「纪律委员」—— 约束工作习惯（先读后写/验证再干/谨慎修改），从错误中沉淀教训；核心层纯 bash 零依赖，编排引擎可选；OpenClaw first，兼容 4 平台。
AI-driven R&D workflow framework: 8-step SDLC, hard gates, @rules traceability chain. Bilingual (EN/ZH).
Three runnable enterprise AI systems showing secure RAG, governed agents, AI release reliability, evals, traces, audit logs, and approval gates.
Claude Code skill pack for forward-deployed engineers — customer context, discovery, scope, value framing, POC, integration. Git-backed, no service deps.
opinionated tools for shipping AI into real-world domains
This is a memo about AI FDEs based on my observations and experiences written with agentic AI support.
LLM agent observability framework trace every step, eval every output with LLM-as-judge, alert on quality drift. Built for forward deployed engineers.
how AI-native companies can build composable per-customer software
ArcKit Forward Deploy Engineering (FDE): embedded architecture engineering for UK public sector programmes. £25K/week first sprint with Green Book, Orange Book, GDS and TCoP evidence alignment.
An operating system for forward-deployed engineering
AI powered app tailored for Forward Deployed Engineers (FDEs) who are landing, configuring, and supporting AI systems in client environments.
FDE Reality Check: detect AI deployment pseudo-closure before demos fail in real operations.
Applied AI proof app that turns rough voice memo transcripts into product specs, acceptance criteria, implementation plans, and scaffold outlines.
Conference relationship intelligence app that turns messy summit notes into prioritized follow-ups, company-fit signals, and next actions.
Employer-facing portfolio for AI implementation: discovery, architecture, evals, auditability, rollout, and customer handoff.
dbt + DuckDB healthcare data-quality & AI-readiness pipeline, fully Dockerized (docker compose up --build runs it end-to-end).
Customer evidence packet builder that turns messy discovery notes, objections, facts, and sources into concise decision packets.
Forward-deployed AI implementation toolkit: customer context, readiness scoring, audit trails, rollout checks, and MCP patterns.
Discovery-call workflow app that converts transcripts into decisions, risks, owner routing, CRM notes, and follow-up drafts.
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