MLOps news and analysis on Web Pulse: 3473 curated articles tracking the latest MLOps developments, tools, and research, updated continuously from vetted sources.
A developer instrumented a Python-based AI agent pipeline using OpenTelemetry and SigNoz to track LLM latency and cost. The setup uses explicit inline tracing to capture domain-specific metrics like token counts and mode…
TormentNexus has built a real-time AI observability dashboard that streams raw SQLite row-level mutations directly from Write-Ahead Log files, enabling developers to see every INSERT, UPDATE, and DELETE as it happens. Th…
A developer building the FinSavant FinOps platform on Google's ADK shares a detailed guide to setting up an agentic development environment using Google's Antigravity IDE, MCPs, and the Agents CLI. The post covers projec…
A developer argues that a single speedup number like '2.2x faster' is insufficient for evaluating AI agent migrations. They propose a rigorous benchmarking methodology using paired workloads stratified by repository size…
A developer proposes a 30-line provenance log for AI-generated code using an append-only JSONL file. The log records task, constraints, model, input commit, verification command, and human decision, creating a searchable…
A developer discovered that OpenClaw's strongest use case is not AI content generation but content operations pipelines that schedule, adapt per channel, move assets through Git, run ffmpeg, and publish across up to 10 s…
An engineer at Eko built an autonomous agent that resolves support work against a live financial system, end to end, without human intervention. The key insight is that the model is the easy part; the hard part is the 'h…
Spec-driven development provides a durable source of truth for AI-assisted software delivery, ensuring that implementation decisions trace back to agreed specifications. This approach tightens transitions between SDLC st…
A senior engineer at a mid-size SaaS company shares production deployment best practices for AI agents, emphasizing version-controlled pipelines, blue-green deployments, and decision-level observability to prevent failur…
An engineer building a hard spending cap for LLM calls discovered that billing dashboards are rear-view mirrors, total spend is a useless number, and retry storms are the most expensive bug class. The developer recommend…
Promptfoo, an open-source evaluation and red-teaming framework, addresses the challenge of testing non-deterministic LLM outputs by treating prompts as versioned, testable code. The framework enables QA engineers to defi…
A developer argues that AI triage for CI pipelines is ineffective without first establishing error budgets and structured evidence. The post outlines service-level indicators for queue time, execution time, infrastructur…
A developer argues that security teams lack leading indicators equivalent to DORA metrics for delivery health. They propose five adapted metrics—evaluation frequency, time to remediate, mean time to remediate, new findin…
A developer outlines best practices for debugging AI API failures in multi-model applications, emphasizing the need for failure classification, request logs, workflow-specific monitoring, and quality signals beyond simpl…
Hudson Atwell, a GBTI Network Member, created a /ci skill for Claude Code that audits GitHub Actions workflows. The skill provides a health board, failure triage, post-push monitoring, and a workflow inventory, encoding …
A developer explains how to add evals to an LLM feature, using an outbound AI calling agent as an example. The process involves defining a business outcome metric, curating a representative dataset of real test calls, an…
Dr. Samson Tanimawo, founder and CEO of Nova AI Ops, argues that reliability is a cultural outcome, not a headcount metric. He outlines a five-level maturity model from reactive to systemic reliability, emphasizing that …
Ota, a developer tools company, argues that setup automation is not the same as readiness verification for software repositories. The company proposes an execution contract that separates setup from verification, allowin…
A developer building LLM workflows argues that choosing between chaining libraries and general orchestrators depends on whether the problem is LLM glue or reliable execution. The developer built PromptKit, a 4D toolkit f…
A developer self-hosted SigNoz to trace a multi-step LLM agent pipeline, finding the GenAI semantic-convention attributes the most useful feature. The setup required only a minimal Foundry CLI deployment and stock OpenTe…