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Start with technical fundamentals: understand how code works, recognize failure modes, and connect concepts to engineering decisions.
Our mission is to help software engineers prepare for interviews in the AI era. Loopstride is being built to turn changing expectations into focused preparation for working with AI, understanding code, and explaining engineering decisions.
From the creator of GreatFrontEnd.
As AI changes how engineers approach problems, preparation needs to develop both technical fundamentals and the judgment to evaluate AI-assisted work. The preparation we are building connects learning, practice, and review around those skills.
Start with technical fundamentals: understand how code works, recognize failure modes, and connect concepts to engineering decisions.
Apply those foundations to AI-assisted problem solving, debugging, and code review. Work through how to evaluate a result and explain the trade-offs.
Examine what worked, challenge what did not, and explain why a solution holds up. Carry that reasoning into the next problem.
Tools and interview formats will keep changing. Our aim is to help engineers build the judgment to evaluate their work: question assumptions, spot risks, verify results, and explain decisions, whether they write code themselves or work with AI.
The standard we are building toward is technical correctness, specific examples, and clear explanations. Useful preparation should make its reasoning open to scrutiny, so engineers can understand why an approach works and when to choose another.