AI DLC Insights and Cloud & AI Price Administration give engineering leaders the reply to their largest AI query: what are we spending on AI, and the place is the ROI?
Harness, the AI Software program Supply Platform™ firm, right this moment introduced two new merchandise: AI DLC Insights and Cloud & AI Price Administration. Collectively, they provide engineering organizations real-time visibility into each greenback spent on AI and whether or not that funding is producing measurable outcomes.
In line with Gartner, worldwide AI software program spending is predicted to be $2.59 trillion in 2026, 47% greater than final 12 months’s spend. But, based on Harness’s 2026 State of Engineering Excellence report, 94% of engineering leaders say the metrics that matter most are lacking from their present measurement frameworks. As spend continues to climb, the hyperlink between spend and enterprise outcomes stays largely unmeasured.
“Each enterprise we speak to is asking the identical query: we’re spending extra on AI than ever, so why can’t we present what it’s doing for us? The primary section of AI adoption was about getting groups to make use of and perceive the instruments. The following section is about proving the instruments have a optimistic affect,” mentioned Trevor Stuart, SVP and GM at Harness. “At Harness, we’ve constructed these merchandise as a result of that’s precisely the place our clients are proper now, and demonstrating ROI would be the defining problem of enterprise AI in 2026.”
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AI DLC Insights: Connecting Developer Token Spend to Shipped Software program
Right now, builders write practically each line of recent code with AI help. The instruments differ — Claude Code, Cursor, GitHub Copilot, Windsurf — however the sample is common. The issue is that token spend has by no means been related to outcomes: what fraction of AI-generated code truly ships, how a lot spend is wasted on deserted code or bloated prompts, and whether or not AI-assisted work is definitely transferring quicker via overview into manufacturing.
AI DLC Insights solutions these questions. The product extends Harness Software program Engineering Insights with a brand new on-machine developer agent that runs immediately within the developer’s setting. The agent captures each AI-generated line of code, information token prices per mannequin and gear, and maps that spend via the total supply chain to the pull request, ticket, and deployment it produced.
The result’s an entire image of developer AI ROI: which instruments groups truly use, the place tokens are going to code that by no means ships, and whether or not AI-assisted work is producing quicker, higher software program. Key capabilities embody:
- Unified AI coding adoption visibility: A single view of adoption throughout each main coding agent.
- Per-developer attribution: Token spend, periods, and shipped code traced to the developer, crew, and enterprise unit.
- Wasted spend detection: Surfaces deserted code, bloated prompts, costly mannequin selections, and missed cache hits.
- Coding-to-production affect: Tracks AI-generated code from immediate to manufacturing, utilizing ship fee, PR cycle time, and DORA metrics correlated with incident knowledge.
- Benchmarking and governance: Compares crew efficiency in opposition to org-wide baselines with role-based entry management.
Cloud & AI Price Administration: Unit Economics for Each Greenback of AI Infrastructure
As soon as an AI agent ships to manufacturing, a distinct value equation takes over. Each buyer interplay, resolved ticket, and automatic workflow triggers inference. In most organizations, that spend is seen solely on the bill degree — which tells you which ones line merchandise is rising, however nothing about whether or not the expansion is price it.
Cloud & AI Price Administration makes that dedication potential. The product extends Harness Cloud Price Administration to cowl each greenback of AI infrastructure spend, connecting on to AI suppliers and manufacturing brokers to seize spend on the particular person request degree and tie it to the agent, session, or workflow that triggered it.
Key capabilities embody:
- Unified AI value visibility: A single view of spend throughout each AI supplier and managed service supplier, from OpenAI and Anthropic to AWS Bedrock and GCP Vertex AI.
- Full spend attribution: Price traced to the agent, mannequin, crew, and enterprise unit driving it.
- Anomaly detection: Uncommon AI spend spikes are proactively flagged for motion.
- Price range and governance: Controls set on the agent, crew, or enterprise unit degree, extending present FinOps controls to AI spend.
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