I'll add a section on better interviewing techniques with a focus on debugging and extending existing code rather than creating new code from scratch.

The Live Coding Interview Fallacy: Why It Fails to Measure Real Engineering Talent

Live coding interviews have become a staple in the tech industry's hiring process. Candidates are often asked to solve algorithmic problems on the spot, with an interviewer watching their every keystroke. While this method aims to assess a candidate's coding skills, it often fails to capture the true essence of software engineering: problem-solving, collaboration, and adaptability.

The Disconnect Between Live Coding and Real-World Engineering

In real-world scenarios, software engineers rarely code in isolation without access to resources. They collaborate with team members, consult documentation, and use tools to aid their development process. Live coding interviews, however, place candidates in high-pressure situations that don't reflect actual work environments. This discrepancy can lead to the overlooking of talented individuals who may not perform well under such artificial constraints.

Criticisms from Industry Professionals

Many industry professionals have voiced concerns about the efficacy of live coding interviews. Frank Moley, an Engineering Leader, states bluntly on LinkedIn: "Live coding interviews are just stupid, period end of story. I would fail most of them. I don't code in unfamiliar IDEs with stupid made up examples in less than an hour." LinkedIn

Daniel Gentleman, in another LinkedIn article, argues that "live coding interviews are intended to evaluate a candidate's ability to solve problems and demonstrate technical skills. However, I believe they do not reliably evaluate individuals in many more skills other than the ability to master that style of interview." LinkedIn

Additionally, Stack Overflow's 2022 Developer Survey revealed that 54% of developers prefer take-home assignments or project-based interviews over live whiteboarding sessions.

The Holistic Value of Developers

Research consistently shows that a developer's value extends far beyond their coding abilities. Harvard Business Review found that "emotional intelligence—the ability to understand and manage yourself accordingly—accounts for nearly 90 percent of what moves people up the ladder when IQ and technical skills are roughly similar." Harvard

According to Harvard Business School Online, "71 percent of employers value emotional intelligence more than technical skills when evaluating candidates," Hbs highlighting the growing recognition that technical prowess alone doesn't make an exceptional developer.

Matt Watson from Full Scale emphasizes that "in the context of software development, emotional intelligence plays a vital role in effective communication, collaboration, and problem-solving. Software developers with high emotional intelligence are better equipped to understand and prioritize their users' needs." Full Scale

Steven To at Bright Developers notes that "software has gotten complex nowadays. Building software is now a team sport and of course, with any team sport communication is crucial." bright developers This perspective underscores why soft skills have become increasingly vital in the technical workforce.

The Critical Role of Emotional Intelligence

Research from TalentSmart shows that emotional intelligence is the strongest predictor of performance in the workplace. According to training at Franklin Apprenticeships, emotional intelligence consists of five key components: "Self-awareness, Self-regulation, Motivation, Empathy, and Social skills." Franklin

Svitla Systems reinforces this point, explaining that "hard skills and technical know-how have always been a cornerstone of success in software development. However, in recent years, emotional intelligence (EI) and other soft skills have gained recognition as equally important for developers." Svitla Systems

Better Interviewing Techniques: Focusing on Debugging and Extension Tasks

Instead of creating code from scratch under pressure, companies can implement more realistic assessment methods that better reflect day-to-day engineering work. Here are several techniques that focus on debugging and extending existing code:

1. Code Review Exercises

Provide candidates with a piece of working but flawed code and ask them to review it. This evaluates their ability to:

• Identify bugs, security vulnerabilities, and performance issues

• Suggest improvements to architecture and design

• Demonstrate knowledge of best practices and coding standards

This approach mimics the real-world code review process and shows how candidates would contribute to improving existing codebases.

2. Bug Fixing Challenges

Present candidates with a piece of broken code that contains deliberate bugs. Ask them to:

• Identify and explain what's wrong

• Fix the issues efficiently

• Explain their debugging process and thinking

This evaluates practical troubleshooting skills, which engineers use daily. It also demonstrates how candidates approach unfamiliar code, which is essential for most engineering roles.

3. Feature Extension Tasks

Provide a functioning codebase and ask candidates to add a new feature or extend existing functionality:

• This tests their ability to understand existing systems

• Shows how they adapt to established code structures and patterns

• Demonstrates their approach to integrating new components with existing ones

For example, give candidates a simple web application and ask them to add authentication, data filtering, or export functionality.

4. System Design Evolution

Start with a basic system design and ask candidates how they would evolve it to handle new requirements:

• Increased load (scaling challenges)

• New functionality (architecture extensions)

• Integration with third-party services

This tests both technical knowledge and practical thinking about real-world constraints.

5. Pair Programming Sessions

Instead of watching candidates code alone, engage in collaborative pair programming where:

• The interviewer acts as a coding partner

• Both work together to solve a problem or extend existing code

• Communication and collaboration are assessed alongside technical skills

This creates a more relaxed atmosphere and shows how candidates function in a team environment.

6. Maintenance-Focused Questions

Ask candidates to explain how they would:

• Optimize an existing function that's causing performance issues

• Refactor legacy code while maintaining backward compatibility

• Add comprehensive tests to code that lacks them

These questions focus on the maintenance aspects of software engineering, which often consume more time than creating new code.

Companies Successfully Using Alternative Methods

Several forward-thinking companies have adopted these approaches with success:

• Automattic

(creators of WordPress) conducts a trial project where candidates work on actual tasks relevant to the position they're applying for, allowing them to demonstrate their skills in a real-world context.

• GitLab

shifted away from traditional whiteboarding exercises after finding that they failed to accurately predict job performance, especially for senior engineers with significant practical experience.

• Basecamp

uses take-home assignments that focus on modifying existing code rather than creating something from scratch, better simulating the day-to-day work of their engineers.

Conclusion

Live coding interviews, while intended to assess technical skills, often fall short in evaluating a candidate's true potential as a software engineer. By focusing on a more comprehensive view of developer talents—including problem-solving, collaboration, communication, empathy, and adaptability—companies can develop more effective and inclusive hiring practices that better identify top talent who will contribute to long-term success.

Debugging and code extension exercises provide a much more realistic assessment of a developer's capabilities than creating code from scratch under pressure. These techniques evaluate not just coding ability, but also how candidates read code, understand existing systems, and solve real-world problems—skills that are fundamental to successful software engineering careers.

The evidence clearly indicates that the most successful software engineers possess a balanced combination of technical expertise and emotional intelligence. Organizations that recognize and value this balance in their hiring processes will be better positioned to build diverse, innovative, and high-performing teams.