Operations | Monitoring | ITSM | DevOps | Cloud

What used to be $50 a month is now $3,000 — overnight. Microsoft just moved GitHub Copilot to token-based billing, and devs are split between calling it a "rug pull" and admitting someone always had to pay the bill. Here's the part that should worry every engineering leader: most can't tell you what percentage of their AI-generated code actually ships, or where the tokens went. When the meter is running on every prompt, "it feels productive" isn't good enough — you need to know that bug cost you $2,700 in tokens to fix.

AI spend doubled to $297B in two years — and most companies can't tell you what any of it shipped. Token spend is disconnected from outcomes on the dev side. Agents in production? The invoice is the only signal. Harness Cloud & AI Cost Management (CACM) gives teams unit economics at the inference level, cross-provider visibility across OpenAI, Anthropic, Bedrock, and Vertex AI, and request-level attribution to the agent, session, or workflow that triggered the spend.

Uber burned through its entire annual AI budget in under 4 months. Here's what went wrong — and what every engineering org should be doing instead. The data: 80% more code is getting pushed with AI… but only 18% of AI-written code actually ships to production. That's not a productivity story. That's a spend problem. If you're scaling AI tooling without real-time monitoring and guardrails, you're Uber.

AI-driven attacks aren't theoretical anymore. Here's how to prepare your team. What would you add to the prep list? Drop it below.

This video shows how easy it is to migrate off Jenkins to Harness. Getting started today: harness.io/jenkins.

AI coding agents may not replace open source libraries overnight. But Adam Arellano, Field CTO at Harness, thinks models like Mythos could expose a bigger problem: finding bugs, vulnerabilities, and edge cases faster than maintainers can keep up. That might be the real threat to tools and libraries.

See how to configure Harness so that OPA policies are evaluated in your infrastructure.

This example hows how to use Harness CI/CD to build a Cobol application and deploy it to a mainframe running z/OS. We leverage IBM DBB and Wazi Deploy in this example.

How do enterprises turn AI from experimental potential into real-world software delivery value — without slowing down, breaking security, or sacrificing reliability? At {unscripted} 2025, Amit Zavery — President, Chief Product Officer, and COO of ServiceNow — joined Harness CEO and Founder Jyoti Bansal for a candid fireside chat on the future of AI in the enterprise, the role of platforms in unlocking developer productivity, and why"AI-native" only works when speed, security, and reliability move together.

What happens when AI interviews a tech leader? You get unexpectedly honest answers. Harness General Counsel Hanna Steinbach sat down with ChatGPT — and skipped the corporate script. From the realities of parenting while leading a legal team at a high-growth startup, to the daily habits that keep her grounded, this is the kind of candid leadership perspective you rarely see. Oh, and she's definitely the person sprinting to the gate right as boarding starts.