2026 Tech Interviews: Live Coding & First Principles

In this video, we break down how to approach technical rounds from first principles, demonstrating how a solid live-coding workflow and real-time communication can set you apart Watch as we work through Python data structures, handle the trade-offs between over-engineered architecture and simply "making it work," and explore how to communicate your technical decisions effectively to interviewers. Timestamps *04:20* - Intro: The Strategy for Passing Practical Coding Interviews *09:04* - Engaging Your Interviewer: Gauging Code Culture & Expectations *12:04* - Defining Inputs, Outputs, and Data Structures Live *17:49* - Python Memory Decisions: When to Initialize Data *21:36* - Refactoring, Scope, and Designing Inline Tests *31:02* - Upskilling: Why I'm Learning C++ & TypeScript *36:44* - Python Fundamentals: `append()` vs. `extend()` Memory Management 💡 Main Takeaways Prioritize Functional Code: Always focus on getting your code to work and solve the core business problem before prematurely optimizing, adding robust type safety, or writing complex exception handling. First Principles Thinking: Stand out in interviews by explicitly communicating your decision-making process, such as evaluating why a List of strings might be chosen over a Hash Set for a given payload. Know Your Primitives: Understand what is happening under the hood of your chosen language. For example, grasping how Python handles memory allocation natively when using `list.extend()` versus `list.append()`. Defending AI Code: If you utilize AI for take-home assignments, you must be fully prepared to debug, analyze, and verbally defend the architecture and logic during the live review. Make It Work, Then Make It Right (Avoiding Over-Engineering) Tags #SoftwareEngineering #CodingInterviews #PythonDeveloper #LiveCoding #SystemDesign #TechCareers