I've sat through dozens of technical interviews over the years, experiencing nearly every format imaginable.
From one-on-one sessions with CTOs to panel interviews with entire dev teams. Timed quizzes, live feature implementations, algorithm challenges, take-home projects, system design discussions—I've done them all.
That experience taught me what actually works when preparing for technical interviews.
This guide distills those lessons into practical strategies, tips, and checklists that will sharpen your interview skills and improve your odds of landing the job.
What We'll Cover:
The Secret That Will Increase Your Interview Performance By 53% (at Least It Did For Me)
Step 1: Building a Strong Foundation in Core Web Development Concepts
Introduction
Technical interviews evaluate how you think, code, and communicate under pressure. You're demonstrating both your problem-solving process and your technical execution. Like any performance, confidence comes from practice.
Most technical interview processes follow three stages:
Technical screening: A 15–30 minute call assessing your fundamental knowledge and fit for the role.
Coding challenge: Either a take-home project or live coding session that reveals how you structure, write, and test code.
Whiteboard interview: Problem-solving on a shared screen while verbalizing your approach. Success here depends more on clear thinking than flawless execution.
Interviewers typically focus on these areas:
Data structures: How you organize information efficiently.
Algorithms: Your systematic approach to solving problems.
System design (senior roles): Architecting scalable systems that handle real-world complexity.
They're evaluating your problem-solving methodology, not just your technical knowledge.
The Secret That Will Increase Your Interview Performance By 53% (at Least It Did For Me)
The secret: narrow your focus.
Before investing time in preparation, identify the specific type of company you're targeting.
This decision determines exactly what you need to study and practice. Different company types require fundamentally different skill sets.
Here are the main categories:
1. Big Tech / FAANG-level Companies
(Google, Amazon, Meta, Apple, Microsoft)
Core skills:
Data structures & algorithms
System design (scalability, distributed systems)
Computer science fundamentals (OS, networking)
2. Mid-size Product Companies / SaaS
(Shopify, Stripe, Notion)
Core skills:
Deep stack expertise (React, Next.js, Node.js)
API design & integrations
Database design (SQL/NoSQL)
3. Startups (Early-stage)
Core skills:
Full-stack development
Rapid prototyping
End-to-end feature delivery
4. Design Agencies / Creative Studios
Core skills:
Advanced HTML, CSS, JavaScript
Animation libraries (GSAP, Framer Motion)
Pixel-perfect implementation
5. Enterprise / Corporate Companies
Core skills:
Backend development (Java, .NET, and similar)
Enterprise databases and SQL
APIs & microservices architecture
6. E-commerce & Marketing Agencies
Core skills:
Platform expertise (Shopify, WordPress)
Frontend development
SEO & performance optimization
7. AI-first / Modern Tech Companies
(OpenAI, Anthropic)
Core skills:
AI API integration (LLMs, embeddings)
Prompt engineering
Backend & data pipeline management
8. Freelance / Indie / Micro-SaaS
Core skills:
Full-stack development (Next.js)
Payment & authentication systems
Deployment & basic marketing
These are high-level guidelines. Specific roles will have additional requirements, but this framework helps you focus your preparation.
Here's a reality check: ask a top FAANG engineer to build an Awwwards-worthy landing page and they'll likely struggle. Similarly, an award-winning agency designer will probably falter on algorithm challenges. Each domain demands specialized skills. Choose your path and commit to mastering its requirements.
Step 1: Building a Strong Foundation in Core Web Development Concepts
Once you've identified your target company type, assess your fundamentals.
Most candidates fail not from lack of experience, but from weak foundations. Solid basics make everything else—coding challenges, system design, production work—significantly easier.
Master these core areas:
HTML & CSS
JavaScript fundamentals
One framework deeply: Achieve real proficiency in a single stack (like React + Next.js) rather than surface knowledge of many.
APIs & backend basics: Understand data flow, REST APIs, authentication, and frontend-backend integration.
Databases: Know when to use SQL versus NoSQL. Be comfortable with queries and data modeling.
Git & workflows: Demonstrate confidence with version control, branching strategies, and collaborative development.
The goal isn't encyclopedic knowledge. It's clarity, confidence, and consistency in fundamentals.
Strong basics accelerate problem-solving, improve your explanations, and make you stand out naturally in interviews.
Flashcard practice effectively reinforces fundamentals. I built the 99cards app specifically for this purpose if you want a structured approach.
Step 2: Going Deeper Into Subject Matter
At this stage, you've chosen your target company type and confirmed your foundational knowledge.
Now focus on the specific skills your target role requires—whether that's algorithms, live feature development, or something else.
Pro tip: In roughly 80% of cases, HR screens happen before technical rounds. Use this to your advantage.
When I receive a technical interview invitation, I immediately ask the HR contact what I should prepare. This simple question almost always yields specific information about:
Topics to prioritize
Expected task formats
Tools or platforms they'll use
This intelligence transforms your preparation from guesswork into targeted practice.
Interview Preparation Guide
1. Answer Technical Questions (1-on-1 / Many-to-1)
These conversations with CTOs or dev teams assess your thinking process, not just your knowledge. Approach them as collaborative discussions rather than interrogations.
Structure your responses clearly:
Walk through your reasoning step by step
Reference concrete examples from your work
When uncertain, acknowledge it and think aloud
In panel interviews, stay focused. Address one question at a time and engage directly with whoever's speaking.
When I hired a web developer for my micro SaaS, algorithms weren't on my radar. What mattered was deep Next.js expertise. I tested candidates using flashcards in live sessions to gauge their real-world knowledge.
How to effectively prepare
Verbalize concepts as if you're teaching someone else. Speaking out loud reveals gaps that silent review misses.
Run mock interviews with peers or record yourself. Prioritize clear, structured explanations over speed.
Prepare concrete examples from previous projects
Revisit fundamentals: JavaScript, React, API design
Practice admitting knowledge gaps with confidence
2. Go Through Quizzes with a Timer
Timed quizzes measure how quickly you recall fundamentals. These typically involve multiple-choice questions or brief coding challenges designed to test accuracy under time constraints.
Key strategies:
Move past questions that stall you. Flag them and return later.
Familiarize yourself with recurring patterns beforehand.
Speed develops through repetition. Treat it like reflex training.
How to effectively prepare
Use platforms offering timed assessments to replicate interview pressure. Monitor both speed and correctness.
Concentrate on frequently tested areas:
Core JavaScript concepts
Common algorithmic patterns
Code output prediction questions
Short, daily practice sessions outperform marathon study blocks.
3. Build Features into Existing Apps (Live Mode)
Technical interviews often involve modifying real or simulated codebases. This evaluates your ability to parse unfamiliar code, grasp architecture, and implement changes without breaking existing functionality.
Priorities:
Survey the codebase before writing code
Ask questions to clarify requirements
Favor straightforward, maintainable solutions
Narrate your process. Explain your reasoning as you work.
How to effectively prepare
Work with codebases you didn't write. Clone open-source repositories and study their structure.
Develop the skill to quickly orient yourself in new code:
Examine file organization before making changes
Follow data flow through the application
Implement incremental, low-risk modifications
Practice thinking aloud while coding.
4. Live Code Algorithms
This format challenges many developers. You'll solve problems in real time while articulating your thought process.
Resist the urge to code immediately. Instead:
Confirm you understand the problem
Outline your approach verbally
Begin with a working solution, then optimize
Interviewers value clear reasoning over flawless execution.
How to effectively prepare
Regularly practice standard algorithm problems. Learn patterns rather than memorizing solutions.
Solve problems aloud, simulating an audience.
Arrays, strings, hash tables
Sorting and search algorithms
Fundamental recursion
Time your attempts and critique your solutions afterward.
5. Take Home Assignments
These assignments mirror actual work conditions. You have time to build something thoughtfully. This is where you can differentiate yourself.
What evaluators look for:
Readable, well-organized code
Logical structure and naming conventions
Comprehensive README documenting your decisions
Avoid scope creep. A polished, focused submission beats an incomplete ambitious one.
How to effectively prepare
Build small projects with production-quality structure. Practice completing projects, not just starting them.
Emphasize presentation and documentation:
Write meaningful commit messages
Include a thorough README
Account for edge cases
Approach it as if you're delivering to a paying client.
6. System Design
Common for mid-level and senior positions, these interviews ask you to architect a system or improve an existing one.
Build from the ground up:
Establish requirements first
Draft a basic architecture
Address scalability, performance, and tradeoffs
Think like an architect, not just a coder. Demonstrate how you evaluate options.
How to effectively prepare
Study established system design patterns and real-world implementations. Begin with simple systems.
Practice decomposing problems:
API design and data flow
Database selection and caching strategies
Scaling fundamentals
Watch recorded system design interviews and practice articulating your reasoning.
For each interview type, you can use my free checklists to sharpen your preparation.
A Fun Story
I once applied for a front-end role at a company specializing in Awwwards-caliber websites. The technical assignment: recreate a Figma design as a modern, GSAP-animated site. I failed.
Eighteen months later, the same company posted another opening. I applied again. The assignment? The exact same one.
Draw your own conclusions.
Most Important Part
Here's a framework that helps structure your preparation:
PDCA Framework
P - plan
D - do
C - check
A - act
I use this framework for any skill I'm developing. Here's how it applies to technical interviews:
Plan: Design your preparation routine and refine your interview strategy.
Do: Execute what you've planned.
Check: Compare your plan against your execution. Identify gaps and improvement opportunities.
Act: Adjust your approach for the next cycle.
Repeat until you achieve your goal.
Conclusion
Technical interviews aren't about perfection. They reveal how you think, communicate, and solve problems under pressure. Deliberate practice builds confidence and makes the process feel natural.
Master the fundamentals, tailor your preparation to target companies, and simulate real interview conditions. That alone puts you ahead of most candidates.
P.S.
If you want to accelerate your preparation and eliminate guesswork, I've assembled a complete toolkit.
It includes:
Interview Checklists
CV Template
Cover Letter Template
List of Top 50 Remote-First Companies
Job Application Tracker Spreadsheet
You can find it here: 99cards.dev/toolkit
