Developer metrics that are actually fair.

Most developer metrics are broken. Lines of code rewards bloat. Commit count rewards small commits. Pull request count ignores complexity entirely. GitSignal takes a different approach: every metric is weighted by actual effort and complexity, analyzed by AI that understands code.

How scoring works

GitSignal's AI analyzes every diff for structural complexity, cyclomatic complexity, and pattern recognition. Then it generates four core metrics:

• Hours worked — estimated from diff complexity, not time tracking or commit timestamps
• Impact — how meaningful each contribution is to the codebase and product
• Difficulty — the technical complexity of the work performed
• Efficacy — quality and efficiency relative to the complexity of the task

All scores use weighted averages by hours worked — not simple averages that would let a single easy commit inflate a developer's score.

Why this matters for reviews

Performance reviews shouldn't depend on who speaks up most in meetings or who's best at self-promotion. GitSignal gives engineering managers objective, explainable data about each developer's contributions — grounded in the actual code, not opinions.

Every score can be drilled down to the individual commits and PRs that inform it. No black boxes. No vanity metrics.

Team comparison

Compare developers side by side across all four metrics. See at a glance who's tackling the hardest problems, who's shipping the most impactful work, and where the team's effort is concentrated.

Get started

Replace gut-feel reviews with data. Start free or explore metrics with sample data.

Related features

• Automated standups — daily summaries from code activity
• GitHub analytics — feature timelines and work distribution
• Engineering visibility — AI assistant for your engineering org