Stop Slop
Accelerate Value Delivery
Measure value delivery and best practices that drive AI impact with minware’s software development analytics platform.
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 hypercube data model and minQL language (patent-pending) 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
minware integrates with every major development tool.
minware also supports custom CSV/JSON and OpenTelemetry data for spreadsheets and internal tools.
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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.