DevGhost

For software development leaders, traditional productivity metrics like lines of code or commit volume are easily gamed and fail to capture true effort. DevGhost provides a direct solution by analyzing your team's Git history to quantify the cognitive effort behind the code, not just the activity around it. Its core metric, 'Ghost%', benchmarks your team's delivered output against a pre-AI baseline, making it uniquely suited to measure the impact of new AI coding tools. Built for founders, CTOs, and engineering managers, DevGhost connects directly to GitHub and GitLab without installing any agents. Its multi-stage AI pipeline filters out mechanical changes and generated code to focus on meaningful work. Crucially, it uses no time tracking, screen capture, or keystroke logging, relying only on the code itself. This non-invasive approach protects developer privacy and builds trust. The goal isn't to automate verdicts about individuals, but to provide an objective signal to start better management conversations, identify bottlenecks, and understand where engineering investment is truly turning into shipped progress.