%term

Use AI and traffic replay to test AI-generated code

Sep 15, 2026 By Ken Ahrens In Speedscale

When I ask an AI agent to change code, I also want it to run the application and test what it changed. Asking it to write some tests is a start. But if it invents the expected responses from the same assumptions it used to write the code, those tests can miss the same mistake. Traffic replay gives the agent something concrete to test against: requests and responses captured from a working application.

Read Post

Speedscale

Read more about Use AI and traffic replay to test AI-generated code

From a $60K invoice to a $200B earnings call, few can explain the AI bill

Sep 15, 2026 By Keith MacKenzie In CloudZero

CloudZero’s own AI Economics Pulse for September found the 75th percentile of its 430-company customer panel crossed 10% of its cloud bill on AI for the first time in August. Gartner’s latest survey found only 22% of organizations have scaled AI successfully and 11% don’t know what their own function spent on it last year. CJ Gustafson showed what that gap looks like on an actual invoice this week.

Read Post

CloudZero

Read more about From a $60K invoice to a $200B earnings call, few can explain the AI bill

AI can speed up development. Can operations keep up?

Sep 15, 2026 By Assaf Resnick In BigPanda

Enterprise software can now change faster than most operating models can interpret what changed. That creates a question many AI plans leave unanswered: when development accelerates, where does the operational bottleneck go?

Read Post

BigPanda

Read more about AI can speed up development. Can operations keep up?

Sovereign AI and the future of data centre infrastructure

Sep 15, 2026 By PulsantUK In Pulsant

What does sovereign AI really mean when the hardware powering it is made somewhere else? And how is AI changing where data centres need to be built? In the first episode of Series 2 of Perspectives from the Edge, Rob Cooper, Head of Data Centre Advisory at CBRE, joins Pulsant’s Wendy Shearer to explore the rapidly changing AI infrastructure market. CBRE is a global real estate and infrastructure advisory firm, with a specialist team focused on the data centre sector.

View Video

Pulsant

Read more about Sovereign AI and the future of data centre infrastructure

Compare & Sync PostgreSQL Data + AI Assistant | dbForge Studio #Shorts

Sep 15, 2026 By Devart In Devart

Compare and synchronize PostgreSQL table data with dbForge Studio for PostgreSQL. This video shows the entire data comparison and synchronization workflow: how to select source and target databases, configure comparison options, review data differences, generate a synchronization script, and verify that both databases are identical afterwards. You will also see how dbForge AI Assistant can generate, explain, optimize, and troubleshoot SQL queries directly in the Studio.

View Video

Devart

Read more about Compare & Sync PostgreSQL Data + AI Assistant | dbForge Studio #Shorts

Investigate Smarter from Any Agent: Blast Radius and AI Post-Incident Reviews Come to the PagerDuty MCP Server

Sep 15, 2026 By Antonella Hidalgo Moreno In PagerDuty

PagerDuty’s new intelligent Model Context Protocol (MCP) tools, recently announced in Early Access, are a step toward autonomous operations. Here’s how they help customers get there.

Read Post

PagerDuty

Read more about Investigate Smarter from Any Agent: Blast Radius and AI Post-Incident Reviews Come to the PagerDuty MCP Server

How to operate shared platforms safely at agent scale

Sep 15, 2026 By Datadog In Datadog

A platform engineering team can design robust Golden Paths for agent use yet still be unprepared for what happens after adoption. An agent may authenticate properly, call the correct tools, adhere to approval gates, and complete tasks without incident, but new operational risks arise once multiple teams begin running agents continuously and in parallel. We’ve encountered these risks firsthand at Datadog.

Read Post

Datadog

Read more about How to operate shared platforms safely at agent scale

Monitor TAS and gang scheduling for AI training in Kubernetes

Sep 15, 2026 By Datadog In Datadog

Distributed AI training workloads impose complex scheduling requirements that Kubernetes’s built-in scheduler can’t meet. Kubernetes schedules pods individually and independently, but distributed training introduces two requirements that break this model: Pods must land on hardware with the right inter-GPU bandwidth, and all pods must be scheduled simultaneously. If either requirement goes unmet, training stalls or runs far below the hardware’s potential.

Read Post

Datadog

Read more about Monitor TAS and gang scheduling for AI training in Kubernetes

Manage Cursor costs with Datadog Cloud Cost Management

Sep 15, 2026 By Datadog In Datadog

AI coding tools such as Cursor are becoming a significant source of engineering spend. But Cursor costs can be difficult for FinOps teams to manage. Cursor’s usage data alone doesn’t tell you how costs break down across users and models, and fixed-threshold alerts may not catch an unusual cost spike if spend remains below the threshold. Datadog Cloud Cost Management (CCM) brings Cursor costs into the same place where you monitor cloud, SaaS, and other AI spend.

Read Post

Datadog

Read more about Manage Cursor costs with Datadog Cloud Cost Management

Bindplane Agent Is Here: Build, Edit, and Understand Pipelines in Plain Language

Sep 15, 2026 By Justin Voss In ObservIQ

Pipeline Intelligence already recommends processors, reads live telemetry, detects log types, and generates processor bundles from natural language. But most of it lives inside a single processor node. You still have to know which one to open and what to ask for. This changes today. Bindplane Agent is your AI assistant inside Bindplane, ready to act on what you describe in plain language.

Read Post