Shared agentsCost Management Agent
Full visibility into cloud and AI spend, as the Cost Management Agent attributes, optimizes, and governs at the level of autonomy you choose.
- Cost & Operations Management
//Engineering Efficiency
Software engineeringintelligence for AI ROI.
DORA metrics, developer productivity, and AI tool spend, tracked together. See where AI accelerates delivery and where it burns budget.
Adoption
Seats does not equal usage
Which AI coding tools teams use, how deeply they're adopted, and their productivity impact.
Spend
Most tokens never ship code
Wasted and optimizable spend identified, with cost per developer, agent, or feature.
Outcomes
AI ships bugs faster too
AI activity connected to production outcomes, engineering ROI, and security posture.
Most organizations track token usage. Few understand its impact on delivery.
Token spend without velocity is wasted spend.
//Overview
How do you measure the ROI of AI coding tools?
The ROI of AI coding tools is measured by connecting AI usage and spend to delivery outcomes: which AI-written code reaches production, how DORA metrics change and how much token spend never ships.
DataObserve Developer tracks AI code to production, finds tokens that never shipped, maps spend to your organisation hierarchy and lets leaders query engineering data in natural language or build custom insights in Studio.
//One platform
Measure AI spend and development impact
Track AI code to production
AI adoption connected to PR velocity, deployments, and throughput.
Find tokens that never shipped
Spend on abandoned, rewritten, or unshipped code surfaced.
Organization hierarchies
Teams and business units modeled, with metrics that roll up automatically.
Out-of-the-box insights
Dashboards for adoption, efficiency, productivity, security, and business alignment.
Query in natural language
Ask about adoption, spend, and delivery health, with MCP-powered workflows.
Custom insights with Studio
Custom dashboards, reports, and views for your organization.
//Explore more withDataObserve
More from Developer · Cost & Operations Management
AI Cost Management
Full visibility, optimization, and governance for every dollar of cloud and AI spend.
- Cost & Operations Management
AI Costs
Spend captured at the token, request, and workflow level, tied to the agent, session, or business outcome that triggered it.
- Cost & Operations Management
Cloud Costs
Cost anomalies the moment they happen, broken down by provider, with idle resources, rightsizing and commitments handled automatically.
- Cost & Operations Management
//Use cases
Engineering Efficiency: use cases
AI tool rollouts
See whether AI assistant seats are actually used, and by whom.
DORA metrics
Track deployment frequency, lead time, change failure rate and recovery time.
Budget planning
Decide where to add or cut AI tool spend based on delivery impact.
Quality guardrails
Check that faster delivery isn't shipping more defects.
//FAQs
Engineering Efficiency: questions teams ask
What are DORA metrics?
DORA metrics are four measures of software delivery performance: deployment frequency, lead time for changes, change failure rate and time to restore service.
Does seat count show AI adoption?
No. Seats show licences, not usage. Engineering efficiency measures actual usage and the code that reaches production.
Can leaders ask questions in plain language?
Yes. Engineering data can be queried in natural language, and custom insights can be built in Studio.
What is software engineering intelligence?
Software engineering intelligence combines data from source control, CI/CD, issue tracking and AI tools to show how engineering work turns into delivered software.
