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MLOps Community

MLOps Community

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Independent community publication on MLOps practices, tooling, and production ML.

Recent Posts

Yes, We Do Need MCP
Video•Feb 24, 2026

Yes, We Do Need MCP

The upcoming Coding Agents Conference will feature a deep‑dive into MCP, a stateful communication protocol designed for AI agents. Organizers argue that MCP’s built‑in statefulness differentiates it from gRPC and HTTP, enabling conversations to resume after interruptions. The talk will highlight fault‑tolerance, elicitation, and sampling capabilities, and preview upcoming Specification Enhancement Proposals such as SEP‑1391. The speaker, a founder of Apache Mesos and CNCF veteran, underscores MCP’s strategic relevance for production‑grade AI systems.

By MLOps Community
Simulate to Scale: How Realistic Simulations Power Reliable Agents in Production // Sachi Shah
Video•Feb 24, 2026

Simulate to Scale: How Realistic Simulations Power Reliable Agents in Production // Sachi Shah

At the Computer History Museum’s Coding Agents Conference, Sachi Shah presented how realistic, scalable simulations are essential for deploying reliable AI agents in production. She explained that simulations can mirror messy real‑world interactions—including multilingual dialogue, emotional states, background noise, and...

By MLOps Community
MLflow Leading Open Source
Video•Feb 24, 2026

MLflow Leading Open Source

Databricks’ leaders Corey Zumar, Jules Damji, and Danny Chiao discussed the latest evolution of MLflow on the MLOps Podcast. The open‑source platform is being rebuilt to handle generative AI, agent workloads, and production‑grade governance, moving beyond its original data‑science‑only focus....

By MLOps Community
Building an Orchestration Layer for Agentic Commerce at Loblaws
Video•Feb 23, 2026

Building an Orchestration Layer for Agentic Commerce at Loblaws

The talk introduced Alfred, Loblaws’ production‑grade orchestration layer designed to power agentic commerce across its massive retail ecosystem. Built on Google Kubernetes Engine with a FastAPI gateway, Alfred abstracts LLM providers, leverages LangChain‑style execution graphs, and connects to over fifty...

By MLOps Community
Agents as Search Engineers // Santoshkalyan Rayadhurgam
Video•Feb 23, 2026

Agents as Search Engineers // Santoshkalyan Rayadhurgam

Santoshkalyan Rayadhurgam argues that the foundational assumption of classic retrieval—users supply fully formed intent—is collapsing, prompting a transition from deterministic, stateless pipelines to agentic, stateful search systems that reason across turns. He contrasts three generations: lexical BM25 pipelines, vector‑based RAG models,...

By MLOps Community
How AI Covered a Human’s Paternity Leave // Quinten Rosseel
Video•Feb 22, 2026

How AI Covered a Human’s Paternity Leave // Quinten Rosseel

During a head of data’s paternity leave, a logistics SaaS firm relied on an AI analyst named “Wobby” to handle incoming data questions. The agent answered roughly 60 % of queries, demonstrating that a well‑engineered AI can fill staffing gaps without...

By MLOps Community
MCP Security: The Exploit Playbook (And How to Stop Them)
Video•Feb 21, 2026

MCP Security: The Exploit Playbook (And How to Stop Them)

The video spotlights the rapid rise of the MCP (Model‑Centered Programming) standard since its November 2024 launch and the stark security lag that now threatens its expanding ecosystem. While major platforms are racing to support MCP, developers are left scrambling to...

By MLOps Community
The Future of Coding: AI Agents & the Next Tech Revolution // Ricky Doar
Video•Feb 21, 2026

The Future of Coding: AI Agents & the Next Tech Revolution // Ricky Doar

The conversation centers on Cursor, an AI‑driven coding assistant, and how developers are adapting to a new paradigm where large language models act as pair programmers or autonomous agents. Ricky Doar and his guest discuss the rapid adoption of Cursor...

By MLOps Community
Fast & Asynchronous: Drift Your AI, Not Your GPU Bill // Artem Yushkovskiy
Video•Feb 19, 2026

Fast & Asynchronous: Drift Your AI, Not Your GPU Bill // Artem Yushkovskiy

The talk introduced ASEA, an open‑source asynchronous‑actor framework designed to replace traditional batch pipelines for generative AI workloads. By decoupling each processing step into self‑hosted GPU actors that communicate via message queues, the team at a global food‑delivery platform eliminated...

By MLOps Community
Beyond the Gold Standard: Evaluating and Trusting Agents in the Wild // Sanjana Sharma
Video•Feb 19, 2026

Beyond the Gold Standard: Evaluating and Trusting Agents in the Wild // Sanjana Sharma

AI agents look impressive in demos, but production reliability hinges on context, evaluation, and trust. Sanjana Sharma argues enterprises must shift from model‑first to system‑first thinking, embedding explicit business rules, subject‑matter‑expert (SME) heuristics, and versioned context layers. The talk outlines three...

By MLOps Community