DEV Community: Ethan Miller

Panel Interview Tips: How to Handle Multiple Interviewers

Ethan Miller — Thu, 29 Oct 2026 14:09:13 +0000

Walking into a room, or a video call, with three or four interviewers can feel overwhelming. Panel interviews are common for senior roles, government jobs, campus hiring and technical positions where several teams need to agree on a candidate. The good news is that a panel follows a predictable pattern, and a little preparation goes a long way.

Know who is on the panel

Find out who will be on the panel if you can. Recruiters often share names and roles. A hiring manager will care about results and fit, a senior engineer about technical depth, and an HR partner about communication and values. Knowing this helps you shape your examples for the people asking.

Include everyone in your answer

When a question is asked, start by answering the person who asked it, then include the rest of the panel by shifting your eye contact around the room or across the screen. This makes everyone feel part of the conversation instead of spectators.

Be ready for quick topic switches

Expect quick changes in direction. One person may ask a technical question and the next a behavioural one. Pause briefly before each answer to switch gears. A calm two-second pause looks confident, not slow.

Use names and build rapport

Write down names at the start and use them naturally. "That is a great point, Priya" builds rapport quickly.

Keep your answers structured

For behavioural questions, the STAR method keeps your response clear even when several people are listening. For technical questions, explain your thinking out loud so every panel member can follow, not only the expert.

End strong

At the end, ask one question that is relevant to more than one panel member, such as how their teams work together. Then thank the whole panel.

Practise for the pace

Panels reward candidates who stay composed and clear. Rehearsing with AI mock interview practice helps you get used to quick topic switches, and real-time interview help can support you when follow-up questions come fast.

How to Prepare for a Live Coding Interview Without Freezing

Ethan Miller — Wed, 21 Oct 2026 13:53:12 +0000

Solving problems alone and solving them while an interviewer watches are two different skills. Many developers who practise daily still freeze in a live round. The fix is to practise the communication as well as the code.

Think out loud from the start

Before you type, restate the problem and ask about inputs, edge cases and expected complexity. Interviewers want to see your reasoning, not just the final code.

Start with a simple solution

Explain a brute-force approach first, then improve it. A working answer you can optimise is better than a perfect idea you cannot finish.

Test your own code

Walk through one normal case and one edge case before you say you are done. It shows care and often catches small bugs.

Practise under real conditions

Set a timer, share your screen and talk through every step. Timed practice is the part of coding interview preparation that most people skip, yet it is the closest match to the real thing.

Final thought

Confidence in a coding interview comes from repetition. If you want a structured way to rehearse, try live coding interview practice with timed mock rounds, so explaining your approach feels natural before the real interview.

The Real Skill Students Needed: Learning How to Work With AI

Ethan Miller — Wed, 14 Oct 2026 09:37:49 +0000

Artificial intelligence is changing how people study, build projects, and prepare for their careers. Knowing programming languages and having a degree can help students stand out, but employers also value problem-solving, practical experience, and the ability to explain technical decisions.

The important thing to remember is that using AI is not the same as understanding the work it produces.

Learn the Skill Before Using the Tool

Imagine two students building the same web application. One copies code generated by AI and submits the project. The other uses AI to understand errors, improve the code, and learn why a particular solution works.

Both may finish the project, but the second student is better prepared to explain technical decisions and solve problems independently.

Learning programming fundamentals, databases, communication, and problem-solving still matters. AI can help you learn faster, but you need enough knowledge to identify incorrect answers and make good decisions.

Students preparing for placements can explore AI interview preparation tools to support their learning and interview practice.

Use AI to Solve Real Problems

One of the best ways to learn AI is to apply it to a practical project. Instead of simply experimenting with prompts, identify a problem you want to solve.

For example, you could build a chatbot that answers questions about college procedures, create a dashboard that analyses sales data, or develop an application that helps students organise their study schedules.

Start with a small idea. Build the basic version, test it, identify mistakes, and improve it step by step. AI can help explain errors and suggest solutions, but you should understand the code and decisions behind your project.

When preparing to present your work, technical interview practice tools can support your preparation by helping you practise explaining technical concepts and project decisions.

Build Proof of What You Know

Certificates are useful, but practical work gives you something concrete to discuss. Build small projects, maintain a GitHub portfolio, document the challenges you faced, and explain how you solved them.

Before applying for jobs, practise describing your projects as if you were speaking to a recruiter. Explain the problem, the technologies you selected, the difficulties you encountered, and the improvements you made.

Regular practice with an AI mock interview assistant can also help you become more comfortable explaining your ideas aloud.

Develop a Habit of Continuous Learning

AI tools change quickly, and learning one tool is not enough to build a successful career. Make time to explore new technologies, read documentation, and experiment with small projects.

When you encounter a problem, try solving it yourself before asking AI for help. Compare its suggestions with your own approach, test the results, and understand why a solution works.

You can also use AI interview preparation resources to organise your preparation and identify areas where you need more practice.

Final Thoughts

You do not need to learn every new AI tool that appears online. Choose tools that solve real problems, understand their limitations, and keep strengthening your fundamental skills.

The students who stand out will not necessarily be those who use the most AI. They will be those who know when to use it, when to question it, and when to think independently.

Learn the fundamentals. Use AI thoughtfully. Build something real. That combination is a much stronger foundation for your career.

How to Prepare for Technical Interviews When You Have Limited Time

Ethan Miller — Mon, 12 Oct 2026 20:30:00 +0000

Technical interviews can be challenging, especially when you have college assignments, projects, or a job to manage. Many candidates understand programming concepts but struggle to explain their solutions, solve problems under pressure, or discuss their projects confidently.

The key is not studying everything at once. Instead, focus on important skills, practise realistic questions, and improve your communication.

1. Focus on Essential Technical Skills

Start by reviewing the job description to identify the skills employers expect. For software development roles, focus on:

Programming fundamentals: Variables, loops, functions, and arrays.
Data structures and algorithms: Searching, sorting, and problem-solving.
Database concepts: SQL queries, joins, and indexes.
Object-oriented programming: Classes, objects, and inheritance.
Project explanations: Technologies used, challenges faced, and solutions implemented.

Create a daily schedule and practise questions related to your target role. You can explore technical interview practice tools to support your preparation.

2. Practise Explaining Your Answers

Solving a problem is important, but interviewers also want to understand your approach.

When answering a coding question, follow these steps:

Understand the problem and its requirements.
Explain your approach before writing code.
Write clear, organised code.
Test your solution with different inputs.
Discuss time and space complexity when relevant.

For example, using a hash set to find duplicate elements in an array can reduce the expected time complexity from O(n²) to O(n), although it requires additional memory.

Practise explaining your reasoning aloud. This helps you communicate your ideas clearly during interviews.

3. Practise with Mock Interviews

Reading questions alone may not prepare you for the pressure of a real interview. Mock interviews help you practise answering questions within a time limit.

You can practise with friends, record your answers, solve timed coding problems, or use AI-powered interview practice tools.

For example, if you are preparing for a data analyst role, practise SQL queries and explain concepts such as joins, filtering, and missing data.

An AI interview assistant is another resource you can explore while preparing.

After each session, identify your mistakes and work on improving them. Always follow the employer's rules regarding AI assistance during live interviews.

4. Prepare Your Project Explanations

Interviewers often ask about academic projects, internships, and teamwork. Instead of simply listing technologies, explain what you built and why.

Prepare answers to these questions:

What problem does your project solve?
Which technologies did you use, and why?
What was your contribution?
What challenges did you face?
How did you solve them?
What would you improve in the future?

For example, when explaining a machine learning project, discuss the dataset, model selection, evaluation methods, and challenges you encountered.

Also, prepare examples of teamwork and problem-solving using your actual experiences. Practise until you can explain them naturally without memorising every sentence.

Final Thoughts

Preparing for technical interviews requires more than memorising answers. Focus on essential skills, practise realistic questions, improve your communication, and understand your projects thoroughly.

Create a simple preparation schedule and review your mistakes regularly. Most importantly, be honest about what you know and explain your reasoning clearly.

Consistent practice and clear communication can help you approach your next technical interview with greater confidence.

AI Interview Tools: A Practical Guide to Better Interview Preparation

Ethan Miller — Mon, 12 Oct 2026 17:01:46 +0000

Preparing for a job interview involves more than memorising answers. Candidates need to understand technical concepts, explain their projects, and respond clearly to unexpected questions. AI interview tools can support this process by helping candidates practise relevant questions, organise their thoughts, and identify areas that need further preparation.

1. How AI Interview Tools Help You Prepare for Job Interviews

AI interview assistants use artificial intelligence to support different stages of interview preparation. Depending on their capabilities, they may generate practice questions, suggest answer structures, analyse spoken responses, or provide real-time interview assistance.

These features can help candidates prepare for technical interviews, behavioural rounds, and role-specific discussions. For example, a software developer might focus on coding and system design, while a data analyst may practise SQL, statistics, and project-based questions. Choosing tools that match your target role can make preparation more focused.

2. Improve Your Skills with AI Mock Interviews

AI mock interview tools allow candidates to practise answering questions before attending an actual interview. They can help you become familiar with common questions, improve your explanations, and recognise topics that require further revision.

For example, a candidate preparing for a database interview could practise explaining indexing, query optimisation, and database transactions. Repeating the exercise with different questions helps develop a deeper understanding instead of relying on memorised responses.

3. How to Prepare for Technical Interview Questions Using Your Resume

Interviewers often ask candidates to explain the projects, technologies, and achievements listed on their resumes. Preparing these details in advance makes it easier to provide relevant examples and explain technical decisions.

Start by reviewing each project and identifying the problem you solved, the technologies you used, the challenges you faced, and the results you achieved. Some interview preparation platforms allow candidates to use their resumes and target job descriptions as context. Exploring an AI interview assistant can help candidates understand how AI-supported guidance fits into their preparation workflow.

4. Use AI to Build Confidence, Not Dependence

AI-generated answers should be treated as learning aids rather than scripts to memorise. Review the information, verify technical details, and practise explaining concepts in your own words. Candidates should also follow the employer's rules regarding AI assistance during interviews.

Combining regular practice with AI interview preparation tools can help candidates organise their learning, revise important topics, and approach interviews with a clearer understanding of their strengths and weaknesses.

Final Thought

AI can make interview preparation more structured, but successful interviews still depend on knowledge, communication, and practical experience. Use mock interviews to practise, review your resume carefully, and strengthen the concepts related to your target role. The goal is to become better prepared to explain what you know and demonstrate what you can do.

How I Prepare for a Technical Interview Without Feeling Overwhelmed

Ethan Miller — Thu, 08 Oct 2026 08:50:44 +0000

Technical interviews can feel difficult because there is usually a lot to prepare: coding, projects, system design, technical concepts, and even the way we explain our answers.

I used to think that preparing meant solving as many questions as possible. But after spending more time with technical interviews, I found that having a simple process is much more useful.

Start with your own resume

Before solving random coding questions, go through your resume carefully.

For every project, ask yourself:

Why did I build this project?
What problem does it solve?
Which technologies did I use?
What was my contribution?
What problems did I face?
How did I solve those problems?
What would I improve if I built it again?

Interviewers often ask questions directly from your resume, so being comfortable explaining your own projects can make a big difference.

Practice the fundamentals

Once the resume is clear, I focus on the fundamentals required for the role.

For a software development position, this could include data structures, algorithms, databases, operating systems, computer networks, and object-oriented programming.

I don't try to learn everything in one day. I usually choose one topic, understand the basic idea, and then solve a few problems related to it.

Practice explaining your solution

Solving a problem correctly is only one part of a technical interview.

You also need to explain your thinking.

A good practice method is to solve a problem and then explain:

What is the problem?
What approach am I using?
Why did I choose this approach?
What is the time complexity?
What is the space complexity?
Are there any edge cases?

This makes practice feel much closer to an actual interview.

Use mock interviews

Mock interviews are useful because preparing alone can sometimes give a false sense of confidence.

During a mock interview, you have to think while someone is waiting for your answer. That pressure is actually useful because it helps you notice where you hesitate.

You can also use an AI interview preparation tool to practice questions and organize your preparation before the real interview.

The goal isn't to memorize perfect answers. It is to become comfortable thinking and communicating when you don't immediately know the answer.

Review mistakes instead of only counting questions

One thing I found helpful is keeping a small list of mistakes.

For example:

I forgot a basic concept.
I couldn't explain my project clearly.
I missed an edge case.
I knew the solution but couldn't explain it.
I spent too much time on one problem.

Before the next practice session, I review this list.

Over time, this gives a much clearer picture of what actually needs improvement.

Keep the preparation simple

Technical interview preparation doesn't have to mean studying for ten hours every day.

A consistent routine is more useful.

Even a focused session where you review one concept, solve a few problems, and practice explaining one project can be productive.

The main goal is to walk into the interview knowing what you have built, understanding the fundamentals, and being able to explain your thinking clearly.