Shine a New Light on Productivity

See how time is spent, what slows delivery, and pinpoint where to improve. Skip the duct-taped spreadsheets and upgrade to effortless engineering metrics that make sense.
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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: GitHub

Value 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: McKinsey

A 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
Read about best practices in the Lean AI Framework

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

Start from comprehensive pre-built reports and industry benchmarks.

How many interruptions do we face?

See the extent that unplanned work is interfering with productivity in the Interruption Cost Dashboard.

How can we increase focus time?

Evaluate inefficiencies, identify costly context switching, and prevent burnout using the Productivity Dashboard inspired by Uber.

What are the biggest bottlenecks?

Investigate how tickets flow between statuses, where the most time is spent, and unexpected bounce backs in the Ticket Status Dashboard.
Browse all pre-built reports

minware integrates with every major development tool.

minware also supports custom CSV/JSON and OpenTelemetry data for spreadsheets and internal tools.
See the full list of integrations

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 measure developer productivity without invasive monitoring?

minware tracks developer productivity metrics using Git, ticketing, and CI/CD activity. It calculates effort allocation, delivery pace, and rework without monitoring screens or requiring time logging.

Can minware help track productivity across the full development lifecycle?

Yes. minware tracks delivery patterns from sprint planning to production. It shows how long work takes, how much is unplanned, and how much time is lost to idle stages. These development productivity metrics improve planning and execution.

How does minware compare to other tools that measure software developer productivity?

minware calculates developer efficiency using code delivery patterns, not commit counts or time tracking. It shows where work slows down and how developers contribute across the system.

Can minware track how much time developers spend on bugs or unplanned work?

Yes. minware classifies work by type and shows how much engineering time is spent on bugs, rework, or scope changes. These software developer performance metrics support better prioritization and root cause analysis.

Does minware support agile productivity metrics?

Yes. minware tracks story point completion, sprint carryover, unreviewed PRs, and WIP trends. These metrics help agile teams improve velocity and delivery predictability.

How does minware support measuring engineering efficiency across teams?

minware allows teams to compare metrics like cycle time, review speed, unplanned work, and deployment delay. These engineering productivity metrics help managers identify friction and improve consistency.

Can minware improve how we evaluate software developer performance?

Yes. minware surfaces trends in code review quality, delivery consistency, and rework rate to support performance evaluations without subjective scoring.

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