MLOps news and analysis on Web Pulse: 3366 curated articles tracking the latest MLOps developments, tools, and research, updated continuously from vetted sources.
Thinking Machines Lab is hiring a Software Engineer, Developer Productivity, AI Tools in San Francisco at an annual salary of $300,000–$350,000, a range the job board reports sits 48% above the $220,000 median for MLOps/…
A developer argues that AI coding agents and LLM integration have collapsed code generation time from hours to minutes, making the CI/CD pipeline the new critical path limiting team velocity. The analysis contends that e…
Moonshot AI released the weights for Kimi-K3, a 2.8-trillion-parameter, 1M-context, natively-MXFP4 Mixture-of-Experts model, with AMD Instinct support available on day 0 across three serving frameworks: vLLM, SGLang, and…
Hugging Face added support for running GGUF models in its transformers library, letting users load llama.cpp-format checkpoints via `from_pretrained` and generate locally, with initial focus on Apple Silicon and the Qwen…
A walkthrough demonstrates propagating trace context from Claude Code sessions to invoked tools using the `CLAUDE_CODE_PROPAGATE_TRACEPARENT` environment variable, connecting agent activity, Docker builds, and custom too…
ServiceNow posted a Principal Software Engineer role for its AI Control Tower (AICT) in Santa Clara, California, offering $221,000 to $387,000 per year plus equity on a hybrid schedule. The listing, which requires 10+ ye…
Specialized storage is increasingly shaping inference efficiency for AI cloud providers by preserving AI context, reducing recomputation, and improving GPU productivity, response times, and inference throughput, accordin…
A developer built DecisionTraceRecorder, a HookProvider library on top of Strands Agents that automatically captures an AI agent's reasoning chain with zero changes to existing tools and stores it in Neo4j using the vend…
VDURA announced VDURA Sentinel, a proactive support capability included with the VDURA Data Platform V12 that continuously monitors storage systems and automatically opens a service request with a proposed fix, often bef…
A developer has proposed an end-to-end workflow for implementing a software Epic using AI agents, structuring work as a task dependency graph where each task passes through Planner, Builder, and Reviewer stages before co…
NVIDIA Dynamo-Triton release 26.07 now enables TensorRT multi-device inference, allowing a single TensorRT network to execute across multiple GPUs using NCCL-backed distributed collectives, with full support starting in …
LangChain's 2026 State of Agent Engineering report found 57% of organizations now have AI agents running in production, up from 51% the prior year, with output quality cited by 32% of respondents as the top barrier to sc…
Syndio posted an on-site Staff Software Developer role in Calgary, Alberta, paying CAD 180k–200k/yr plus equity, to build high-performance pay-equity data workflows and AI agent tooling for its Essentials product. The jo…
A developer argues that building AI for physical and industrial environments is a fundamentally different engineering problem than conventional software AI, because unreliable networks, noisy sensors, limited edge comput…
A developer maintaining trainproof, a deterministic linter for ML training runs, withdrew the strongest evidence behind the tool's validation gallery after two independent forensic audits found the cited log had been tru…
CISA added seven CVEs to its Known Exploited Vulnerabilities catalog in September 2026, three of which affect infrastructure common in self-hosted AI stacks: the LiteLLM AI gateway proxy, the Kestra workflow orchestratio…
Google has open-sourced AX (Agent Executor), an Apache 2.0-licensed agentic orchestrator under its official GitHub org that maps a large population of agent "actors" onto a small pool of physical worker pods, snapshottin…
Expanso and TypeSafe published a GitHub demo showing that Jev, TypeSafe's AI judgment model, classified an INFO-level log line reading "config reload requested by unknown actor" as a warning with a severity confidence sc…
An engineer at g factor detailed how vLLM's PagedAttention and continuous iteration-level batching solve the memory-bandwidth bottleneck in production LLM inference, drawing on benchmarks run on dedicated NVIDIA H100 and…
Altimate AI launched Auto Tune, a closed-loop system that continuously right-sizes Databricks job clusters by learning from each job's own run metrics and reverting with an alert whenever a change breaches user-configure…