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Engineering Effort
Effort Score
Quantify contribution with normalized effort.
Measures Real Effort Value per commit using AI-powered diff analysis and highlights high-leverage work to rebalance workloads.
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Categorization
Commit Categorization
See exactly where engineering time is invested.
Maps effort into a normalized taxonomy like feature, bugfix, refactor, test, docs, and ops to quantify investment by initiative.
Simple pricing aligned with your team size
GitMe pricing now follows three clear plans based on token usage and seat limits. Pick the package that matches your current stage and upgrade as your team grows.
- Per-plan token pricing (per 1 million tokens)
- Seat-based plans (Starter, Growth, Scale)
- Scale plan includes the full analytics suite
Choose your plan for commit-level analysis
We process your repository commit by commit. Each plan includes a single per 1 million token price and a seat limit.
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Engineering Effort
Effort Score
Quantify contribution with normalized effort.
Measures Real Effort Value per commit using AI-powered diff analysis and highlights high-leverage work to rebalance workloads.
-
Categorization
Commit Categorization
See exactly where engineering time is invested.
Maps effort into a normalized taxonomy like feature, bugfix, refactor, test, docs, and ops to quantify investment by initiative.
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AI Effort Share
AI Effort Share
Understand how much code is AI-authored.
Estimates AI-assisted code share with linguistic and temporal signals so teams can benchmark adoption and set responsible usage guardrails.
-
Engineering Effort
Effort Score
Quantify contribution with normalized effort.
Measures Real Effort Value per commit using AI-powered diff analysis and highlights high-leverage work to rebalance workloads.
-
Categorization
Commit Categorization
See exactly where engineering time is invested.
Maps effort into a normalized taxonomy like feature, bugfix, refactor, test, docs, and ops to quantify investment by initiative.
-
AI Effort Share
AI Effort Share
Understand how much code is AI-authored.
Estimates AI-assisted code share with linguistic and temporal signals so teams can benchmark adoption and set responsible usage guardrails.
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AI Insights
AI Insights
Narrative intelligence for engineering leaders.
Combines developer analytics with executive-ready summaries and recommended actions to improve productivity, sustainability, and AI adoption.
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Contribution Retention
Retention Analytics
Track longevity of shipped code and team knowledge.
Monitors how long code survives, detects risky churn hotspots, and surfaces continuity issues across developers, projects, and teams.