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gitkraken

7 Best Enterprise ADEs for Secure Multi-Agent Coding (2026)

Oct 19, 2026 By Jade Nangah In GitKraken
Your engineering team runs five AI coding agents across three repositories. One is stuck waiting for input, another just overwrote a file the third one was editing, and nobody knows which branch belongs to which task. Sound familiar? Agentic development environments solve this coordination problem by giving you a single surface to orchestrate, review, and merge agent-driven work. This guide compares seven enterprise-ready ADEs built for secure, multi-agent coding workflows.
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last9

MCP Server Monitoring: Tracing Tool Calls with OpenTelemetry

Oct 19, 2026 By Sejal Pandey In Last9
MCP server monitoring guide: spans, metrics and logs to record for tool calls, why failed tools look healthy, and how to trace requests from client to server. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.
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Aiven

AI inference, explained through one question

Oct 19, 2026 By Philippe Vincent-Royol | In Aiven
TL;DR Part 0 of a three-part series on building a documentation assistant with Aiven. This part gives you the vocabulary. Part 1 is the architecture. Part 2 builds the thing. Almost everything written about large language models explains how models get built. Very little explains what happens the other billion times, when a finished model sits there answering questions. That second thing is called inference, and it is where practically all of the engineering work actually lives.
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scout

FastAPI Shipped Three Breaking Changes in 21 Hours: What to Check

Oct 19, 2026 By Scout Monitoring In Scout
FastAPI released 0.146.0, 0.147.0, and 0.148.0 between Sunday afternoon and Monday morning (UTC), and each one is labeled a breaking change. None of them will crash your app on startup. They change what values your endpoints receive, which is the kind of change that passes CI and then shows up as odd data a week later. At Scout Monitoring, we monitor a lot of FastAPI apps, and a loosely pinned fastapi dependency is the most common way these releases will arrive.
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Modal scales the next generation of AI with unified observability from Datadog

Oct 19, 2026 By Datadog In Datadog
Modal is an AI infrastructure company rebuilding the cloud for AI, giving developers easy access to the compute needed to build and scale AI applications without managing the underlying complexity. Operating across more than 20 cloud providers and launching approximately 26 million containers daily, Modal relies on Datadog to unify observability across its infrastructure, applications, networking, and CI—helping its engineers detect 99% of incidents within five minutes, resolve 96% of issues before customer impact, and confidently scale one of the world’s most complex AI platforms.
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Harness Cost Management Agent | How to Set and Enforce AI Spending Budgets

Oct 19, 2026 By Harness In Harness
Control AI spending across your organization with Harness Cost Management Agent's AI User Budgets. In this demo, see how Harness helps teams set, monitor, and enforce AI spending limits across tools like Claude, Cursor, and Amazon Bedrock, all from one centralized control plane. What you'll learn: Set weekly AI spending budgets for users and teams Track AI consumption across multiple tools and models.
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Enterprise Vibe Mode: Deploy AI-Built Apps to Production | Harness Demo

Oct 19, 2026 By Harness In Harness
Vibe coding makes building applications easier than ever. But how do you take an AI-generated app and safely deploy it to production? In this demo, see how Harness brings Vibe Mode to the enterprise, allowing anyone to deploy applications while automatically applying your organization's security policies, governance, compliance requirements, and deployment configurations. See how Harness enables teams to.
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control plane

The 10 Best MCP Servers for DevOps and Cloud Infrastructure in 2026

Oct 19, 2026 By Noah Grinstein In Control Plane
The best MCP servers for DevOps depends on what you want an AI assistant to do: read code and pipelines, plan infrastructure as code, call one cloud’s APIs, observe production, or deploy and operate workloads. The safest setups combine scoped permissions, a read-only mode for investigation, confirmation before destructive actions, and an audit trail of every change.
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VictoriaMetrics

Observability Lessons NVIDIA and CoreWeave

Oct 19, 2026 By PF Pablo Fernandez In VictoriaMetrics
The best thing that can happen to an open-source project is to find its way into some of the world’s largest technology companies. In September 2026, this happened twice in one week: VictoriaMetrics is now officially bundled in the self-managed edition of NVIDIA’s Cloud Functions, and I learned that CoreWeave is using VictoriaMetrics as the metrics backend for all of its infrastructure customers. Both companies adopted VictoriaMetrics independently.
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tigera

YouTube Let AI Prototypes Read Production. The Token Did the Work.

Oct 19, 2026 By Alister Baroi In Tigera
TL;DR: Google Cloud’s post of 22nd July 2026 on why AI apps fail in production describes how a YouTube team gets AI prototypes in front of user research in weeks instead of quarters: a prototyping stack that hands each prototype read-only access to live production data through a proxy, keeps its code out of the production binary, and throws the prototype away once the idea is proven.
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