🚀 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.
Forward deployed engineering skills for AI coding agents.
The Applied AI Guide: fieldwork, value engineering, and operations for agents that work beyond the demo.
Claude Code skill pack for forward-deployed engineers — customer context, discovery, scope, value framing, POC, integration. Git-backed, no service deps.
This repository serves as the comprehensive workspace for Quarter 4-5 academic endeavors, encompassing assignments, technical documentation, experimental implementations, and applied projects.
AI-driven R&D workflow framework: 8-step SDLC, hard gates, @rules traceability chain. Bilingual (EN/ZH).
opinionated tools for shipping AI into real-world domains
AI-assisted local-first reference prototypes for governed AI application controls, using fictional data and explicit evidence boundaries.
Agent-native, open-source deployment tooling for those who want to deploy better
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.
The only available Forward Deployed Engineer ( FDE ) interview prep: decomposition & client simulation round rubrics, framework, sample questions and resources.
This is a memo about AI FDEs based on my observations and experiences written with agentic AI support.
AI-powered FDE platform for customer deployments, RAG, secure integrations, human-in-the-loop workflows, evaluations, and observability.
The control plane for AI agents that operate production systems.
Privacy-safe forward-deployed engineering skills for Claude Code, Codex, and AGENTS.md-compatible agents
A practical, book-style field guide for Forward Deployed AI Engineers covering LLMs, production RAG, agents, LangGraph, evaluation, LLMOps, security, code examples, and interview preparation.
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
Forward-deployed AI engineering platform that turns enterprise evidence into verified workflows, implementation plans, and measurable automation.
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