CodeBreakthrough Vault

62h 23m 45s
English
Paid

CodeBreakthrough Vault is an exclusive course designed to take you to a new level in your life and career as an engineer. Previously, this knowledge and practice were available only in my individual mentoring program costing $11,000. Now they are compiled in a structured course that combines the best lessons from years of teaching technology and mentorship experience.

Why I Created CodeBreakthrough Vault

Over more than 10 years of teaching and mentoring, I have identified a set of key skills and approaches that every engineer needs for confident career growth. These principles have helped my students receive offers for developer positions, quickly grow to the Senior level, and overcome barriers that hindered their progress.

Many professionals lack these fundamental competencies and were exerting effort on things that do not yield real results. Vault solves this problem by gathering the foundations that will guaranteedly strengthen your base and accelerate progress.

What Awaits You Inside the Vault

  • A step-by-step roadmap to success
  • The best resources, books, and websites for engineers
  • Guidance on setting up LinkedIn, resume, portfolio, and GitHub to receive maximum offers
  • Comprehensive interview preparation, including DSA, system design, behavioral, and AI interviews
  • Strategies to achieve technical mastery and gain real experience
  • Proven networking and career growth strategies
  • Tactics for successful negotiations and obtaining high-paying offers
  • Introduction to the basics of freelancing and launching your own projects
  • Using AI for accelerated learning and productive development
  • Access to recordings of live engineering calls with real Q&A and advice from me and a former Meta employee

About the Author: Caleb Curry

Caleb Curry thumbnail
When I started my career in the field of development, I was completely confused. I didn't know what exactly to study, what to expect, and how to truly improve. I really wished there was someone by my side who could help build the path to success. Over time, I realized: mastering technologies is only part of the task. The real challenge lay in discipline, in understanding what exactly needs to be studied, and in maintaining self-confidence. Today, more than 10 years later, I am still passionate about programming and enthusiastically learning new technologies. But now I learn not only from successes but also from my mistakes. My mission is to become a guide for those who are now at the same stage I once was. It doesn't matter where you come from, how old you are, or what experience you have: I am sure that everyone is capable of mastering programming and changing their life for the better.

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#1: START HERE community and eBook - Instant Mindset Fix (10 Problems to Solve Today)
All Course Lessons (66)
#Lesson TitleDurationAccess
1
START HERE community and eBook - Instant Mindset Fix (10 Problems to Solve Today) Demo
39:01
2
Introduction
01:22
3
Guarantee Success with Pressure
12:29
4
Make Goals that Don't Suck
16:41
5
10X Your Learning Speed
21:30
6
Apply to Jobs the Right Way
20:03
7
Software Engineer Interview Prep
58:00
8
High Availability
01:03:08
9
Reliability and Scalability of a Notification System
01:02:06
10
Design and Implementation of a Notification System
01:09:36
11
Job Application Strategies and Techniques
59:54
12
Responsibilities, Performance Evaluations, and Time Management
58:05
13
Interview Tips, Performance Reviews, and Time Management
57:32
14
Performance Evaluations and Big O Notation
01:07:06
15
Data Structures (Arrays, Linked Lists Queues, and Stacks)
01:02:34
16
Data Structures and Algorithms
58:47
17
Stack Implementation, Heaps and Priority Queues
56:55
18
Introduction to Tech Roles
58:13
19
Improving Resumes and the Importance of Networking
01:01:02
20
Design Patterns, Job Opportunities, and Interview Prep
01:04:46
21
Career Development and the Power of Three
57:58
22
Networking Skills, CV Structuring, and Technical Problem-Solving
01:02:25
23
Networking and Structuring CVs Continued
01:05:21
24
Backend for Frontend (BFF) Model
01:21:14
25
Decentralized Governance Project Overview
59:33
26
Dan's Background, Live Debugging, Q&A
01:06:11
27
Path to Success in Software Engineering
01:02:57
28
Software Engineering Interview Process
01:07:36
29
Planning and Building Projects
01:00:38
30
Resume Review and AI Screenings
01:02:26
31
Spending a Day with Github Founder
01:10:34
32
Work Experience and Company Culture
01:00:22
33
Offer Negotiation
01:10:19
34
Mentorship and Event-Driven Architecture
01:06:56
35
SQL & Technical Interview Prep
01:07:29
36
AI Agents & AI for Software Engineers
01:08:38
37
New Grad CV Review
01:02:11
38
Interview Prep for Meta and EA
01:04:10
39
Docker, Database Performance & Write Ahead Logs
57:46
40
RESTful API Architecture
01:03:54
41
Introduction to System Design
59:26
42
System Architecture and Scaling
01:12:14
43
Latency, Availability and Estimating Storage Requirements
45:23
44
Interview Structure, High-Level Design and Deep Dive
48:28
45
Rate Limiting, Throttling, and Debouncing
51:01
46
Consistent Hashing, Horizontal Scaling, and Load Balancing
38:19
47
Hashing, Key-value Stores, and The CAP Theorem
52:56
48
Key-Value Stores and Consistent Hashing
40:10
49
Generating Unique IDs in Distributed Systems
01:15:04
50
URL Shortener and Job Searching
01:05:07
51
Web Crawlers
57:51
52
Job Search Strategies and Notification Systems
49:05
53
NoSQL Database Overview
51:37
54
NoSQL Part 2
52:16
55
NoSQL Part 3 - Data Partitioning
45:55
56
URL Shortener Project Overview
59:33
57
Intro to Amazon Web Services (AWS) Part 1
55:21
58
Intro to Amazon Web Services (AWS) Part 2
01:07:48
59
AWS Relational Database Service (RDS)
01:01:50
60
Setting up an AWS EC2 Instance, Nginx, Kubernetes, Docker
01:01:35
61
S3, CloudFront, API Gateway, and BFF Applications
01:02:32
62
Database Security, Advanced AWS Services and Deployment Options
01:09:13
63
Amazon Elastic Container Registry (ECR) and Elastic Container Service (ECS)
57:46
64
Infrastructure as Code (IaC) using Terraform
59:47
65
Debugging AWS Deployments
52:54
66
Introduction to Docker
01:03:06
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