MLOps news and analysis on Web Pulse: 3314 curated articles tracking the latest MLOps developments, tools, and research, updated continuously from vetted sources.
A developer outlines three common failure modes that cause AI agents to work in demos but break in production: unvalidated messy inputs, silent mid-chain step failures, and the absence of a feedback loop. The writeup pre…
Towards Data Science published a tutorial titled "How to Build a Cheap, Yet Reliable Model Router With Jev," describing model routing as a design choice rather than a system enhancement. The article is a how-to guide for…
A developer known as Niko1221 has published Strata, a repository showing that the 125B-parameter Qwen 3.8 Flash Next model can run on a single consumer RTX 4090 at roughly 100 tokens per second. The setup combines 4-bit …
AcruxCore launched as an open-source, Apache 2.0 platform that versions both prompts and the tools they call, runs them through a single gateway, and traces every call, tool failure and change. The company compared Acrux…
Union.ai launched self-serve signup on AWS Marketplace, letting developers connect an AWS cluster and run production workloads with a 30-day free trial without a sales call, the company said. Union.ai cited that in the l…
An open reference architecture proposes a physical-AI counting system for Pakistan's steel mills, using IP66 HDR cameras and sealed GPU-accelerated industrial PCs running fine-tuned RF-DETR detection and ByteTrack-class …
Meta's Capacity Efficiency Program used an internally built agentic platform to cut performance-regression diagnosis time from about 10 hours to around 30 minutes and recover hundreds of megawatts of power, according to …
A developer designed a self-hosted article-to-Markdown extraction microservice using FastAPI, Trafilatura, Readability-lxml, and an asynchronous Playwright fallback to convert raw web pages into clean Markdown for LLM in…
A developer outlines a practical approach to building an AI assistant knowledge base that avoids stale or unauthorized answers by maintaining a per-source register with owner, validity window, and access rules. The guide…
Inngest, a Go-based durable workflow and AI orchestration project with 5.9k GitHub stars, was last updated in October 2026, according to its listing. The server is source-available under the SSPL-1.0 licence, which conve…
A developer-authored guide outlines the features, architecture, and development costs of enterprise AI compliance automation platforms in 2026, arguing that such systems must function as a control plane rather than a sta…
A developer built Saathi, an offline study companion that turns a classmate's own notes into quiz questions, asks for a confidence rating before each answer, diagnoses why wrong answers were wrong, schedules questions us…
A developer's analysis of production LLM routing argues that cost-optimized routers silently degrade response quality, with a six-to-seven-week lag before the resulting churn becomes visible in dashboards. The piece desc…
A growing body of 2026 research shows that an AI agent's harness — its loop, context management, tool interface and recovery logic — drives benchmark performance far more than the underlying model weights. Harness-Bench …
A developer built CI Watchdog, an open-source GitHub App and SaaS platform that autonomously cancels redundant GitHub Actions runs and triages failed builds using open-weight AI models such as Gemma and Gemini 3.8 Flash.…
A solo hackathon entrant built Third Umpire, a single-container Django and SQLite judging portal that models each review as event average plus project quality plus judge leniency plus noise, fitting quality and leniency …
A developer built an Autonomous GitHub Issue Debugger Agent that uses Temporal workflows to orchestrate a Mastra AI agent, local RAG via MongoDB Atlas and Ollama embeddings, SerpApi web search, and Qwen through OpenRoute…
A new governance model for agentic AI in infrastructure requires five controls before AI systems get write access to production: bounded blast radius, mandatory human checkpoints for state-changing actions, complete audi…
A September Build Lab session outlined four feedback loops — local review, CI, scheduled audits, and channel feedback — for keeping an AI context layer current, with each loop required to produce an owner, a tracked requ…
A developer built DriveSafe, a privacy-first platform that uses AI to automatically flag important moments in dashcam footage—such as pedestrians, cyclists, close vehicle encounters, and sudden scene changes—and lets use…