Our vetting process !

We evaluate Problem Understanding Proficiency by assessing candidates on Clarity, Communication, Instruction Following, and Teamwork/Independence, scoring out of 100. This approach, honed over two years, identifies developers excelling in problem comprehension—essential for effective remote work.

After candidates grasp the problem, we assess their problem-solving skills by evaluating their ability to break down the issue, navigate a solution pathway, and demonstrate critical thinking in proposing algorithms.

Candidates are evaluated on their algorithmic proficiency through live coding scenarios. This includes assessing their ability to improve existing algorithms, articulate reasons for algorithmic failures, and propose scalable solutions for complex problems, encompassing problem understanding, analytical skills, and trade-off analysis.

Candidates are evaluated on their ability to propose and analyze multiple solutions, considering the pros and cons of each. We assess their understanding of computational complexities and their capacity to adapt solutions to different constraints, emphasizing the importance of trade-off analysis in startup environments

Code Speed, akin to Agile's "velocity," gauges a developer's efficiency in translating concepts into functional code. It encompasses parameters such as the swiftness of functional code production, proficiency with IDE and tools, and the speed at which bugs are identified and resolved.

Code Accuracy assesses the quality and reliability of code by evaluating correctness, efficiency, and error handling. It gauges a developer's ability to produce code that delivers expected outputs, optimizes system resources, and handles errors gracefully, providing valuable insights into their skill set.

Readability evaluation assesses a developer's ability to create self-explanatory code, reducing cognitive load. It considers factors like descriptive naming, adherence to coding conventions, adherence to the Single Responsibility Principle, and concise, efficient code structure, crucial for collaboration in remote development environments.

We evaluate a candidate's coding skills based on key maintainability factors, including thorough documentation, clear explanations of complex algorithms, modular organization, minimized module dependencies, and ease of adding/removing features without system-wide impact.

Code coverage, a key metric for assessing a coder's reliability, measures the percentage of a codebase covered by automated tests. It is essential in remote hiring, offering insights into a candidate's testing proficiency based on comprehensiveness, quality, and execution of tests.

Evaluate the candidate's past project insights by assessing their ability to articulate contributions, highlighting project aspects they are proud of, and gauging technology skill ratings for a comprehensive understanding of their expertise and fit for the company.

Effective remote work relies on strong Technical Communication, evaluating candidates based on their ability to simplify complex ideas, adapt communication to diverse audiences, and produce clear and organized documentation.

Developers need to do more than code; they need Product Sense. This means understanding not only how to make things work but also why. It involves figuring out what users need, what the business is trying to achieve, and using this knowledge to create solutions that go beyond just being functional.

We evaluate potential hires by gauging their ability to grasp the big picture, handle challenges, and optimize system performance. I focus on their strategic thinking, problem-solving skills, and capacity to design scalable systems.