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Your AI stack will change again. Stop rebuilding it.

The model your team relies on today is unlikely to be the one you're relying on a year from now. If your team's process for shipping AI-assisted code is built around a specific model, coding assistant, or a vendor's take on an autonomous agent, you are not building infrastructure. You are building something you will tear out and rebuild the next time the leaderboard shifts.

Starlette 1.7.0 Brings Native Tracing and Smarter Route Naming

If you’re running FastAPI, you’re running Starlette underneath it, whether you think about it or not. At Scout, we spend a lot of time thinking about what happens at that ASGI layer, since that’s exactly where our Python agent hooks in to give you request-level visibility. Starlette 1.7.0 just landed, and it’s a release worth reading closely if you care about tracing, routing, or just keeping your app running on a supported dependency chain.

Manage Context with Aiven DataHub

Aiven DataHub is a managed data catalog that helps you and your agents find, understand and reason on top of your data in data sources like PostgreSQL, ClickHouse, Kafka or BI Tools. In this video Stan dives into Aiven DataHub and shows how to set it up so context is derived from metadata, or the lineage between services. He also dives into examples on how to get deeper insights about your data through prompting Aiven DataHub.

Introducing AI Ecosystem: Zoom Out to See Your Whole AI Agent Fleet

A few months ago, we launched Agent Timeline to close the gap between knowing an agent failed and understanding why. It took the tangled reality of a multi-agent, multi-trace workflow and rendered it as a single, readable conversation: every LLM call, tool invocation, handoff, and downstream system span laid out in the order they happened.

Agents Need Context: Introducing Canvas Connectors, Fleet-wide AI Agent Visibility, and More

Earlier this year, we introduced more capabilities to support agents in production, a more chaotic, complex environment that requires a tremendous amount of context to understand. Unlike tools that capture shallow, pre-aggregated metrics, or cannot join a metric, trace, and log in one query, Honeycomb retains the context and connective tissue from telemetry data to build a nuanced view of production.

Big improvements to Seer Agent

Today marks exactly five months since we launched Seer Agent, our friendly AI agent for querying all things in your Sentry projects (well, five months and a day ago, but close enough). Since then, we’ve had a lot of chats with Seer Agent. You may have even seen a few of them popping up on social media recently. It’s become an integral part of our debugging workflows and feature iteration process.

Map a Service in Your CMDB With AI Suggestions

See how to create a Business Application in InvGate Asset Management and map the Configuration Items (CIs) behind any service using AI-powered relationship suggestions. Add one CI, let the system suggest what connects to it, and apply the suggestions to build your map in a couple of clicks. It also identifies the type of each relationship, so the map reflects how your infrastructure actually works.

Shipped: Every AI provider, one cost story

If you were anywhere near LinkedIn last week, you probably saw us launch AI Signals. We weren’t exactly quiet about it. (Press release, a couple of blog posts, and more social posts than we’d like to admit. Sorry about your feed.) We covered the why behind AI Signals already, but I wanted to actually walk you through what you’re seeing on the screen. Sooner or later someone asks what the company spent on AI last month.

Miami Storage Vs Traditional Storage: Which Option Maximizes Space Utilization?

In real estate, efficient space utilization is a critical factor when choosing between storage options. Whether you're managing a property portfolio or seeking short-term storage solutions, understanding the differences between Miami Storage and traditional storage options can significantly impact your decision-making process. This article explores the nuances of these two types of storage facilities, analyzing their effectiveness in maximizing space. We'll also examine the factors influencing space efficiency and provide guidance on selecting the best storage option for your needs.

What Employers Often Miss When Evaluating Pharmacy Benefit Manager Performance

The healthcare system in America is convoluted and often expensive, which causes no small amount of stress for patients, providers, and pharmacies alike. For employers that provide health insurance and drug coverage for their workers especially, finding a solution that is both cost effective and ideally straightforward is often difficult. These healthcare purchasers turn to Pharmacy Benefit Managers (PBMs) and find great success, but there are a number of misconceptions and pitfalls employers can fall into when evaluating PBM performance.