Presentation: You Can't Trust Your AI Bill. And Neither Can I
Erik Peterson discusses why AI spend is eclipsing cloud bills, triggering a major software engineering cost crisis. He explains tokenmaxxing, unit e…
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Claude Opus 5.5 vs. Opus 5 on reasoning tasks: Cheaper, faster, but not better
When Anthropic released Claude Opus 5.5 this week, the company claimed the new model costs 40% less than Opus 5 The post Claude Opus 5.5 vs. Opus 5…
Одна цифра в двух смыслах: читаю whitepaper Сбера про AI-Disrupt PDLC со своей телеметрией в руках
В мае Сбер выпустил whitepaper “AI-Disrupt PDLC” - документ о том, как перестраивать жизненный цикл разработки вокруг намерения человека. В сентябре…
Aider, Claude Code, and OpenClaw ran an identical model. Token use varied 70-fold.
When teams price an AI coding agent, they tend to scrutinize the model. But three recent benchmarking efforts suggest the The post Aider, Claude Cod…
How telemetry pipelines keep AI agent costs under control
As enterprises move from experimenting with AI to running autonomous agents in production, an infrastructure problem is emerging: rising telemetry T…
Why your AI pipeline costs 10x more after the demo
Every token has a price. The problem is that most AI systems don’t reveal the bill until they reach production. The post Why your AI pipeline costs…
Podcast: Cloud and DevOps InfoQ Trends Report 2026: AI, Resilience, Platforms, FinOps, and Sovereignty
In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ will discuss current trends in the cloud and DevOps domain…
JetBrains Details Its First Steps to Bring Rapidly Growing AI Spend Under Control
JetBrains has described how it began centralising AI usage after development-related spending increased roughly tenfold in six months. Rather than r…
Trust, transactions and tokenomics: AI agent infrastructure begins to standardize
As AI agents gain greater autonomy across the internet, a system of governance is emerging around three questions: how much The post Trust, transact…
Meta and the rise of the accidental cloud
In the same quarter, a $1.7 trillion social network and a shoe company both became cloud providers. Nobody’s operating model The post Meta and…
Public cloud vs. on-prem: Summit on where each workload belongs
We’re more than 20 years past the launch of AWS, the starter gun for the shift of compute and storage The post Public cloud vs. on-prem: Summi…
Kubernetes teams trust automation to ship code but not to touch CPU, and AI is raising the stakes
Kubernetes teams automate deployments without thinking about it. CI/CD pipelines fire dozens of times a day, autoscaling adjusts replicas in The pos…
Inside Atlassian’s Forge Billing Architecture for Distributed Usage Tracking at Scale
Atlassian details the Forge billing platform built for usage-based pricing across its cloud ecosystem. It processes large-scale usage events with co…
The fix for soaring AI cloud bills exists — so why won’t we trust it?
To hear Yasmin Rajabi, chief operating officer at CloudBolt, tell it, there’s an imbalance in how we view automation. We’re The post The…
GitHub Slashes Agent Workflow Token Spend up to 62% with Daily Audits and MCP Pruning
GitHub reports cutting token costs in agentic CI workflows by up to 62% by pruning unused MCP tools, swapping some MCP calls for gh CLI, and running…
“Tokenmaxxing is real, expensive & it’s spreading”: New tools emerge to stop AI budgets from exploding
There’s a new weapon in the fight against tokenmaxxing. Tokenmaxxing, of course, occurs when an enterprise decides that AI token The post R…
Taming the agentic influx: a blueprint for AI business observability
Kin Lane, API industry analyst and co-founder of Naftiko, believes that the bill for AI is coming soon. It’s arriving The post Taming the agen…
The new FinOps problem isn’t cloud bills
At Google Cloud Next this month in Las Vegas, The New Stack sat down with Finout co-founder and CEO Roi The post The new FinOps problem isn’t…