The Field Deployed Engineer's Handbook: Production AI in the Real World

『The Field Deployed Engineer's Handbook』은 AI를 실제 조직 환경에 성공적으로 배포하는 현장 엔지니어(FDE)를 위한 실무 지침서입니다. AI 모델 개발을 넘어, 고객 환경에서 AI 시스템을 신뢰성 있게 운영하고 지속 가능한 팀 역량을 구축하는 전 과정을 다룹니다. 12개 장으로 구성되어 역할 이해, 방법론, 프로덕션 준비, 인간적 측면까지 포괄하며, 실전 연습과 GitHub 템플릿을 제공합니다. AI 현장 엔지니어링 분야에 진입하거나 실무를 확장하려는 개발자 및 조직에 즉시 활용 가능한 실용서입니다.

https://leanpub.com/fde-handbook

#fielddeployedengineer #productionai #aideployment #aiengineering #aioperations

Ilir Aliu (@IlirAliu_)

하노버 산업 현장에서의 관찰을 바탕으로, 산업계가 이제 AI의 생산 도입 여부가 아니라 실제 배포를 요구하는 단계에 들어섰다고 전한다. 데모 중심의 시대는 끝났고, 제조·산업 환경에서 AI 적용이 본격적인 흐름으로 자리 잡고 있음을 강조한다.

https://x.com/IlirAliu_/status/2049771371912134680

#industrialai #deployment #manufacturing #productionai #enterpriseai

Single-provider LLM dependency is a production risk

When Anthropic cut off OpenClaw's Claude API access mid-deployment, 40,000 production tools faced sudden failure. The lesson: abstraction layers with fallback routing matter more than chasing model benchmarks. The multi-provider code examples are solid, but the real insight is cultural—treat your LLM vendor like any other critical infrastructure, not a replaceable commodity.

#AI #DevOps #ProductionAI #LLM #OpenSource

LangChain’s CEO warns that raw model quality isn’t enough for production‑ready AI agents. He stresses the need for smarter context handling, reasoning harnesses, and compression techniques to turn LLMs into reliable tools. Curious how to bridge the gap? Read on for the full take. #LangChain #AIAgents #ProductionAI #ContextCompression

🔗 https://aidailypost.com/news/langchain-ceo-says-model-quality-alone-wont-deliver-production-ai

NVIDIA just poured $150 M into Baseten, accelerating Jensen Huang’s shift to an inference‑first strategy. The funding will boost GPU‑powered AI inference pipelines, making production‑grade models easier for enterprises to deploy. Curious how this changes the ML landscape? Read on. #AIInference #NVIDIA #Baseten #ProductionAI

🔗 https://aidailypost.com/news/nvidia-puts-usd-150-m-into-baseten-backing-jensen-huangs

AI agents are moving to production. At QCon AI New York, practitioners from OpenAI, LinkedIn, Google, Walmart & MITRE share real lessons from building agentic systems at scale.

🔗 See the full QCon AI schedule: https://bit.ly/43Jvelw

#QConAI #AIAgents #ProductionAI

From agentic coding tools to reinforcement learning for ad generation to enterprise deep research, senior software practitioners share real lessons from building AI systems at scale at #QConSF 2025.

Early bird ends Nov 11: https://bit.ly/47ubBPt

#AI #ProductionAI

ML production deployment is the key to real-world AI. Learn 7 essential steps for robust, scalable, and efficient machine learning systems. #MLOps #MachineLearning #AIDeployment #DataScience #ProductionAI #ML

https://teguhteja.id/ml-production-deployment-7-unbeatable-steps/?utm_source=mastodon&utm_medium=jetpack_social

Weaponizing image scaling against production AI systems

https://blog.trailofbits.com/2025/08/21/weaponizing-image-scaling-against-production-ai-systems/

#HackerNews #WeaponizingImageScaling #AIsecurity #ImageProcessing #CyberThreats #ProductionAI