The ‘Ghost Engineer’ Problem: How HR Can Spot Developers Who Do Nothing but Look Busy

 The ‘Ghost Engineer’ Problem: How HR Can Spot Developers Who Do Nothing but Look Busy

Introduction

Figure 01: The 'Ghost Engineer'

Have you ever had a developer on your team who always appears to be typing furiously during stand‑ups, yet somehow never seems to ship any actual value? You are not imagining it. They might just be a “ghost engineer”- a term that has taken the tech world by storm. Coined by Stanford researcher Yegor Denisov‑Blanch, a “ghost engineer” is a software developer who is only 10% as productive as their median colleague or even less (Denisov-Blanch, 2024). They are the digital‑age masters of “looking busy.” But while this phenomenon might sound like a punchline, for HR leaders managing remote or hybrid teams, it is an urgent performance management crisis.

The ‘Ghost Engineer’ Phenomenon


Figure 02: The ‘Ghost Engineer’ Phenomenon

So, how widespread is this issue, and why has it become so visible now? The data is quite striking. A study of private Git repositories from over 50,000 engineers found that around 9.5% do very little meaningful work (Denisov-Blanch, 2024). In simple terms, nearly 1 in 10 engineers show very low productivity levels.

The issue is more visible in remote work settings. Around 14% of fully remote engineers fall into this “ghost” category, compared to just 6% in-office (Denisov-Blanch, 2024). This raises an important question: is remote work revealing hidden underperformance, or making it easier to ignore? These employees often make fewer than three meaningful code commits per month. Some also use tactics like scheduling messages late at night or using mouse jigglers to appear active while doing minimal work (Das, 2024).

The financial impact is estimated at $90 billion annually (Gooding, 2024). Beyond the numbers, it also raises a bigger concern about fairness, team morale, and the growing gap between visible and invisible performance.

Agency Theory and the Need for Outcome‑Based Metrics


Figure 03: Agency Theory and the Need for OutcomeBased Metrics

Why do standard HR controls fail to catch ghost engineers, and what should replace them? The answer lies in a classic economic framework: agency theory. This theory describes the inherent conflict between a “principal” (the employer) and an “agent” (the employee), particularly when the principal cannot directly observe the agent’s actions (Pećarina, 2022). In a remote setting, this information asymmetry is magnified. If HR relies on “behaviour‑based” metrics – like hours logged, Slack activity, or keystrokes – it is effectively inviting manipulation.

The solution is a fundamental shift towards outcome‑based metrics. As industry experts note, traditional velocity metrics measure activity, not outcomes (Bruneaux, 2025). Instead, HR and engineering leaders should focus on verifiable outputs, such as pull request quality, ticket closure velocity, and DORA metrics (deployment frequency and lead time for changes) to create a more accurate picture of an engineer’s contribution (Bruneaux, 2025). This approach aligns directly with agency theory’s recommendation: when behaviour is hard to observe, compensation and evaluation must be tied to measurable results.

A Fair Process for HR

How can HR implement this without creating a culture of surveillance and distrust? This is the crucial balancing act. While some might advocate for intrusive monitoring, research suggests that excessive control mechanisms can backfire, leading to unethical behaviour and diminished trust (Gagné & Hewett, 2025). The goal is not to spy, but to create a fair and transparent framework.

Effective Performance Management Process

Figure 04: Effective Performance Management Process

Conclusion


YouTube Video 01: Ghosting in 2026

The ‘Ghost Engineer’ is not an urban legend; it is a costly reality of the modern, distributed workforce. For HR professionals, the lesson is clear. Stop counting hours and start measuring outcomes. By applying agency theory and adopting objective, output‑focused metrics, you can protect your company’s resources, ensure fairness, and build a high‑performing team where contribution – not appearance – is what truly matters.

References

Comments

  1. This is a very thought provoking discussion that clearly highlights how the “ghost engineer” issue reflects deeper organizational challenges such as unclear roles, poor engagement, and ineffective performance management rather than just individual underperformance.
    However, how can HR identify and address the root causes of employee disengagement early to prevent the emergence of “ghost employees” while maintaining fairness and trust within the organization?

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  2. This is a very interesting discussion that clearly highlights how the “ghost engineer” issue is not just about individual underperformance, but a reflection of deeper organizational challenges such as unclear roles, poor performance metrics, and lack of meaningful engagement.
    However, how can HR redesign performance management and job structuring to ensure every employee’s contribution is visible, meaningful, and aligned with organizational goals rather than being overlooked or misinterpreted?

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  3. This is a strong and timely analysis of performance management in remote software teams. The “ghost engineer” concept is clearly explained and well connected to real HR challenges such as visibility of work, fairness, and productivity measurement. Linking the issue to agency theory adds solid academic grounding and helps explain why traditional monitoring methods are no longer effective in remote environments. The emphasis on shifting from activity-based tracking to outcome-based metrics is particularly relevant and practical. Overall, the post offers a balanced view by highlighting both the risks of underperformance and the need to maintain trust without excessive surveillance in modern HRM systems.

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  4. This is an insightful exploration of the ghost engineer phenomenon. The balance you strike between accountability and trust is important.HR must avoid surveillance culture while still ensuring fairness and productivity.

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  5. The "ghost engineer" problem demonstrates an increasing human resources challenge which remote technology teams face because their members can create false activity records while their actual work production remains minimal. The main solution requires organizations to stop observing employee behavior and start evaluating their performance through unbiased and open assessment standards.

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  6. This is a very interesting and timely HR topic. Do you think the ‘ghost engineer’ issue in organisations is more a result of poor performance management systems, or unclear role definitions within teams?

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