Like a Debugger for Your Workflow
Measure, analyze, and refine your engineering processes so you can lead with clarity instead of assumptions.
The output-first approach to AI Impact is broken.
Code output is up
Merged pull requests on GitHub have more than quadrupled since 2023, reaching 130M per month in August 2026.
Source: GitHubValue is flat
Only 6% of companies are “high AI performers” that report “significant” AI impact and ≥5% impact on earnings, unchanged from 2025 to 2026.
Source: McKinseyA strategy that works: stop slop to accelerate value.
minware’s Lean AI Framework™ unlocks value by eliminating everything that gets in the way: rework, bugs, reviewing low-quality code, context switching, babysitting agents, and more.
Measure best practices that drive AI impact.
Other platforms measure outcomes, but don’t tell you how to get better.
minware offers actionable metrics that help teams improve AI impact.
Team Workflow Efficiency
Ticket Work-in-Progress (WIP)
Planning and Prompting
Ticket Size
Pull Request (PR) Complexity
Pre-Merge Churn Rate
Post-Merge Churn Rate
Session Automation
Human Commit Rate
Agent Session Length
Human Intervention Rate
Cloud Agent Use/Success Rate
Tool Use/Runtime
Culture
AI Rules of Engagement
Customize metrics for the way each team creates value.
minware’s patented hypercube data model and minQL language interlink and surface every SDLC artifact.
We help you customize editable metric formulas for each team’s value creation workflow – aligning statuses, labels, custom fields, and team conventions.
Any Metric ✕ Any Dimension ＝ Accurate Value-Aligned Insights
Start from comprehensive pre-built reports and industry benchmarks.
Where are the biggest bottlenecks?
Investigate where the most time is spent, unexpected bounce backs, and more in the Ticket Cycle Time dashboard.
Are we resolving high-priority bugs on time?
Access a full set of metrics broken down by bug priority level with minware's Bug Resolution Dashboard.
Do our processes support best practices?
Ensure your team is following hygiene best practices to improve flow and stabilize sprint health with the Sprint Best Practices Dashboard.
minware integrates with every major development tool.
minware also supports custom CSV/JSON and OpenTelemetry data for spreadsheets and internal tools.
Save your tokens and leave the rest to us.
Get trustworthy insights faster with our data infrastructure.
Agents are great at a lot of things – enterprise-grade data quality, performance, and security are not among them.
Automated Caching & Orchestration
The minQL engine dynamically materializes tables and orchestrates updates so your results are always fresh and fast for millions of rows.
Standard Data Modeling & Benchmarks
minware provides pre-built models for common use cases like time allocation, cost attribution, DORA workflow efficiency, Agile and more.
Vendor Data Linking & Normalization
minware normalizes and links AI usage, pull requests, tickets, and more with advanced heuristics for unstructured relationships.
Error Handling & Recovery
minware handles errors caused by vendor API issues, schema updates, data anomalies, and more so your data is available 24/7.
Identity Resolution
minware reconciles names, emails, and user IDs across all vendors and matches them to multi-level team structure from any source.
Role-Based Access Control
Easily control team and individual data access permissions for minware users based on their role and team membership.
On-Premise Ingest Agent
For added security, the on-premise ingest agent runs locally and uploads data to minware. You maintain full control over keys and data.
AICPA SOC 2 Type 2 Certified
minware is SOC 2 Type 2 compliant. Learn more and access the full SOC 2 report from our security documentation.
Frequently Asked Questions
How does minware help engineering teams track process metrics accurately?
minware uses actual Git, ticketing, and CI/CD activity to measure software process metrics such as cycle time, review time, and idle time. These metrics show how work moves through the system without relying on status fields or time tracking.
What makes minware different from other tools tracking software development process metrics?
minware calculates process metrics in software engineering based on real delivery activity. This includes coding time, review duration, unreviewed changes, and deployment wait times.
Can minware help identify bottlenecks in the development process?
Yes. minware breaks down where time is spent across coding, waiting, reviewing, and releasing. These metrics development process insights help leaders target slow stages and improve delivery flow.
Does minware support agile process metrics?
Yes. minware tracks agile process metrics such as sprint carryover, scope change, and review delays. It helps agile teams improve consistency and eliminate recurring inefficiencies.
How does minware help with metrics for continuous process improvement?
minware gives teams a baseline for process measurement metrics software engineering leaders can track over time. These metrics make it easier to test changes, measure their impact, and guide continuous improvement.