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Officially verified details DevGhost.pro

Developer productivity and engineering analytics from Git changes. Estimate development effort against a consistent baseline, compare developer, team and contractor contributions, and track trends. Cloud, local and on-premises deployment options.

DevGhost.pro

DevGhost.pro Reviews and Details

This page is designed to help you find out whether DevGhost.pro is good and if it is the right choice for you.

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  • Overview //
    2026-10-12
  • Contributors //
    2026-10-12
  • Timeline //
    2026-10-12

Features & Specs

  1. Development Effort Estimation

    Estimate the substantive work behind Git changes, expressed in reference-developer hours.

  2. Developer Productivity Benchmarking

    Compare output against a mid-level developer familiar with the codebase and working without AI

  3. Team and Contractor Analytics

    Compare contributions across developers, teams, and external development contractors

  4. Productivity Trends

    Track changes over time with individual timelines, repository averages, and trend lines

  5. Interactive Git Analytics

    Explore contribution charts and developer breakdowns with selectable periods and contributors

  6. Fully Local Analysis

    Run all code analysis and analytics locally, without internet access or external calls. Source code and results stay on your machine.

  7. Flexible Deployment

    Choose cloud SaaS, local VS Code/Cursor extensions on Windows and macOS, a Windows desktop beta, or on-premises deployment.

  8. VS Code and Cursor Integration

    Analyze local Git repositories from VS Code or Cursor on Windows and macOS.

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Questions & Answers

As answered by people managing DevGhost.pro.
  1. What makes DevGhost.pro unique?

    DevGhost estimates the substantive work behind Git changes using a consistent reference: a mid-level developer who knows the codebase and works without AI. This makes contributions comparable beyond commit counts and lines of code. Teams can explore individual output, repository-wide trends, and changes in productivity as development workflows evolve. DevGhost also offers fully local analysis: both code processing and analytics run on your machine, with source code and results staying local.

  2. Why should a person choose DevGhost.pro over its competitors?

    Choose DevGhost when you need to understand the work delivered by a development team or contractor and compare contributions on a shared scale. It combines effort estimates, developer breakdowns, and productivity timelines in an interactive report. This helps founders and engineering leaders connect progress discussions to actual code changes. With cloud, local, and on-premises options, you can choose a deployment model that fits your workflow and confidentiality requirements.

  3. How would you describe the primary audience of DevGhost.pro?

    DevGhost is built for founders, CTOs, engineering managers, and product owners who need visibility into software development. It is especially useful for organizations working with outsourced development teams, agencies, or freelancers, and for leaders trying to understand how AI-assisted development is changing their team's output.

  4. What's the story behind DevGhost.pro?

    DevGhost is built around a simple question: how much substantive work is actually being delivered? Busy teams, frequent commits, and detailed status reports do not always make that clear. AI-assisted development makes the question even more important, as one developer's output can change dramatically. DevGhost brings code changes onto a common reference scale so founders and engineering leaders can see contributions, follow trends, and have more concrete conversations about delivery.

  5. Who are some of the biggest customers of DevGhost.pro?

    We do not publish customer names. Engineering productivity and team contribution data can be sensitive, particularly when it involves individual developers or external contractors. We respect the confidentiality of these assessments and the reputations of the people and organizations involved.

  6. Which are the primary technologies used for building DevGhost.pro?

    DevGhost is built with TypeScript, React, Next.js, and Node.js. Its Python analysis engine uses Git, Tree-sitter, NumPy, and scikit-learn to process and analyze code changes. The web platform uses PostgreSQL with Prisma, while the local edition uses SQLite. The VS Code and Cursor extension combines TypeScript with React-based webviews. The Windows desktop application is built with Electron and shares the local analysis engine. Cloud and on-premises deployment options are supported through Modal and Docker-based infrastructure.

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