🚀 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.
Open-source FDE toolkit — pre-commit audit + knowledge base + harness layer；开源 FDE 工具包：提交即审计 + 知识自沉淀 + AI 约束层。
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.
opinionated tools for shipping AI into real-world domains
Claude Code skill pack for forward-deployed engineers — customer context, discovery, scope, value framing, POC, integration. Git-backed, no service deps.
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.
Employer-facing portfolio for AI implementation: discovery, architecture, evals, auditability, rollout, and customer handoff.
AI powered app tailored for Forward Deployed Engineers (FDEs) who are landing, configuring, and supporting AI systems in client environments.
Applied AI proof app that turns rough voice memo transcripts into product specs, acceptance criteria, implementation plans, and scaffold outlines.
A zero-to-one learning path for Forward Deployed Engineering
An operating system for forward-deployed engineering
Conference relationship intelligence app that turns messy summit notes into prioritized follow-ups, company-fit signals, and next actions.
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.
Production-style platform for building, evaluating and observing LLM agent workflows
FDE Reality Check: detect AI deployment pseudo-closure before demos fail in real operations.
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