CodeMentor: Technical Interview Simulation Templates for Self-Taught Developers

Updated: February 22, 2026

Complete technical interview practice system with coding challenges, behavioral question frameworks, and self-assessment tools designed specifically for self-taught developers entering the job market.

What's Inside

• 50+ realistic coding challenge templates with difficulty progression
• Built-in self-evaluation rubrics used by actual hiring managers
• Company-specific interview format templates (Google, Meta, startups, etc.)

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CodeMentor: Technical Interview Simulation Templates for Self-Taught Developers

The complete toolkit for self-taught developers and bootcamp graduates to master technical interviews with confidence

Introduction

Breaking into the tech industry as a self-taught developer or bootcamp graduate can feel overwhelming, especially when facing technical interviews. This comprehensive template pack provides you with battle-tested frameworks and realistic simulation scenarios to help you prepare for every aspect of the technical interview process.

Whether you're targeting FAANG companies, startups, or mid-size tech firms, these templates will help you structure your preparation, identify knowledge gaps, and build the confidence needed to succeed in your next technical interview.

How to Use These Templates

Each template in this pack is designed to be:

• Repeatable: Use them multiple times with different scenarios
• Customizable: Fill in the blanks with your specific situation
• Progressive: Start with easier versions and increase complexity
• Realistic: Based on actual interview experiences from top tech companies

Instructions:

1. Fill in all [BRACKETED] placeholders with relevant information
2. Practice each template multiple times with different scenarios
3. Time yourself to simulate real interview pressure
4. Record your responses to identify areas for improvement
5. Adapt the templates based on your target companies and roles

Algorithm & Data Structure Challenges

Template 1: Problem-Solving Framework Template

Scenario Setup:

You are given [PROBLEM_DESCRIPTION] and have [TIME_LIMIT] minutes to solve it.

Problem Statement:

```

Given: [INPUT_DESCRIPTION]

Return: [OUTPUT_DESCRIPTION]

Constraints: [CONSTRAINT_LIST]

Example: [EXAMPLE_INPUT] → [EXAMPLE_OUTPUT]

```

Solution Approach:

1. Clarify Requirements (2 minutes)

• "Let me make sure I understand: [RESTATE_PROBLEM]"
• "What should I return if [EDGE_CASE_SCENARIO]?"
• "Are there any constraints on [SPECIFIC_ASPECT]?"

1. Analyze & Plan (5 minutes)

• "I can think of [NUMBER] approaches: [APPROACH_1], [APPROACH_2], [APPROACH_3]"
• "The brute force solution would be [BRUTE_FORCE_DESCRIPTION] with O([TIME_COMPLEXITY]) time"
• "A more optimal approach would be [OPTIMAL_APPROACH] with O([BETTER_TIME_COMPLEXITY]) time"

1. Code Implementation (15 minutes)

```python

def solution([PARAMETERS]):

[STEP_1_DESCRIPTION]

[VARIABLE_1] = [INITIALIZATION]

[STEP_2_DESCRIPTION]

for [ITERATOR] in [ITERABLE]:

[MAIN_LOGIC]

[STEP_3_DESCRIPTION]

return [RESULT]

```

1. Test & Debug (3 minutes)

• "Let me trace through with the example: [TRACE_EXAMPLE]"
• "Edge cases to consider: [EDGE_CASE_1], [EDGE_CASE_2]"
• "Time complexity: O([FINAL_TIME_COMPLEXITY]), Space complexity: O([SPACE_COMPLEXITY])"

Practice Scenarios:

• Array manipulation: [ARRAY_PROBLEM]
• String processing: [STRING_PROBLEM]
• Tree traversal: [TREE_PROBLEM]
• Graph algorithms: [GRAPH_PROBLEM]

Template 2: Data Structure Selection Template

Problem Context:

You need to implement [FUNCTIONALITY_DESCRIPTION] with the following requirements:

• [REQUIREMENT_1]
• [REQUIREMENT_2]
• [REQUIREMENT_3]

Data Structure Analysis:

| Operation | Frequency | Current Solution | Time Complexity | Space Complexity |

|-----------|-----------|------------------|-----------------|------------------|

| [OPERATION_1] | [FREQUENCY_1] | [CURRENT_APPROACH_1] | O([TIME_1]) | O([SPACE_1]) |

| [OPERATION_2] | [FREQUENCY_2] | [CURRENT_APPROACH_2] | O([TIME_2]) | O([SPACE_2]) |

| [OPERATION_3] | [FREQUENCY_3] | [CURRENT_APPROACH_3] | O([TIME_3]) | O([SPACE_3]) |

Recommendation:

"Based on the requirements, I recommend using [RECOMMENDED_DATA_STRUCTURE] because:

1. [REASON_1]
2. [REASON_2]
3. [REASON_3]

Alternative approaches like [ALTERNATIVE_1] and [ALTERNATIVE_2] were considered but [REJECTION_REASON]."

Implementation Outline:

```python

class [CLASS_NAME]:

def __init__(self):

self.[PRIMARY_STRUCTURE] = [INITIALIZATION]

self.[AUXILIARY_STRUCTURE] = [AUX_INITIALIZATION]

def METHOD_1:

[METHOD_1_DESCRIPTION]

[IMPLEMENTATION_STEPS]

def [METHOD_2](se...

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