Full-Stack MasteryFrom "I can code" → "I can design & ship production systems"
A 10-week intensive curriculum designed by engineers, for engineers. Build real projects, master system design, and level up your career.
Fundamentals: Top 10 Skills (C/C++ Route)
This is the foundation every engineer needs: C for understanding the machine, C++ for abstraction at scale, and the professional habits that make you reliable in any stack.
- •Compilation pipeline: preprocess, compile, link
- •Pointers, memory layout, stack vs heap
- •Core C standard library (stdio, stdlib, string)
- •Undefined behavior and defensive coding
- •RAII, ownership, and resource management
- •Classes, templates, and STL containers
- •Move semantics and smart pointers
- •Zero-cost abstractions and design tradeoffs
- •Arrays, linked lists, stacks, queues
- •Trees, tries, and hash tables
- •Memory ownership patterns in C/C++
- •API design for reusable data structures
- •Big-O analysis and practical tradeoffs
- •Sorting and searching (quick/merge/binary)
- •Recursion, iteration, and dynamic programming
- •Benchmarking and input sizing
- •Processes, threads, and scheduling basics
- •Syscalls and POSIX APIs
- •Memory management and virtual memory
- •Concurrency hazards: races and deadlocks
- •File descriptors, buffering, and streams
- •Binary vs text formats and serialization
- •Parsing and validation strategies
- •Error handling and recovery paths
- •TCP vs UDP and socket primitives
- •HTTP request/response lifecycle
- •Concurrency models for servers
- •Timeouts, retries, and reliability
- •GDB/LLDB workflows and breakpoints
- •Valgrind and sanitizers
- •Profiling CPU and memory hot spots
- •Logging strategies for systems code
- •Make and CMake fundamentals
- •Static vs shared libraries
- •Compiler flags and optimization levels
- •Cross-platform build hygiene
- •Git workflows and code review hygiene
- •Testing strategy: unit, integration, regression
- •Design docs and tradeoff communication
- •Security basics: input validation and secrets
Daily Battle Plan (Bismillah)
A smart daily loop: build the core, train the patterns, and ship. Mark each day complete to keep momentum.
- •Pointers, memory layout, and ownership
- •RAII and smart pointers
- •Write and read low-level code
- •Two pointers or sliding window
- •Hash maps and frequency counting
- •Time/space tradeoffs
- •Processes, threads, and synchronization
- •Race conditions and deadlocks
- •Context switching intuition
- •Sockets, TCP lifecycle, and timeouts
- •HTTP request/response anatomy
- •Retries and idempotency
- •GDB/LLDB breakpoints
- •Sanitizers and valgrind
- •Profiling hot paths
- •CMake or Makefile basics
- •Unit tests and CI mindset
- •Release notes and versioning
- •Error logs and lessons learned
- •Tradeoff storytelling
- •System design warmup
Practice Lab: Live Coding Drills
Jump into live drills with test feedback and a mistake library so you avoid the most common wrong turns.
Start Practice LabBoss Fights (Checkpoints)
These checkpoints demand real execution. Complete the prerequisites, then earn the badge.
- •C/C++ fundamentals applied under pressure
- •Data structures implementation review
- •Explain tradeoffs in plain language
- •OS + networking mental models
- •Concurrency with real constraints
- •Debugging and incident response
- •System design tradeoffs at scale
- •Testing strategy and release hygiene
- •Operational readiness checklist
Role Tracks: Choose Your Route
Each track is sequential. You must complete the previous stage before moving on to the next.
SDE Route
End-to-end product delivery with strong backend and system design fundamentals.
- •HTTP + REST APIs
- •Auth + data modeling
- •Frontend state + UX
- •Testing basics
- •Caching + queues
- •Observability + logs
- •Error handling + retries
- •Performance profiling
- •Load balancing
- •Data partitioning
- •Consistency tradeoffs
- •Capacity planning
- •Deploy + monitor
- •Feature flags + rollbacks
- •Runbooks + SLAs
SDE II Route
Distributed systems depth, reliability leadership, and architecture reviews.
- •Replication
- •Leader election
- •Consistency models
- •Failure modes
- •Latency budgets
- •Caching layers
- •Profiling
- •Cost modeling
- •SLOs + error budgets
- •Incident response
- •Chaos testing
- •Postmortems
- •Design docs
- •Mentoring
- •Cross-team reviews
- •Roadmapping
Data Engineer Route
Data pipelines, warehousing, and reliability at scale.
- •Star schema
- •Normalization
- •Indexes
- •Data contracts
- •Pipelines
- •Idempotency
- •Scheduling
- •Validation
- •Event ingestion
- •Stream processing
- •Partitioning
- •Warehouses
- •Lineage
- •Access control
- •Quality checks
- •Cost + SLAs
Data Science Route
Statistics, modeling, and deployment with real-world rigor.
- •Pandas + EDA
- •Distributions
- •Hypothesis testing
- •Visualization
- •Feature engineering
- •Train/test split
- •Baseline models
- •Bias/variance
- •Metrics
- •Cross-validation
- •A/B testing
- •Data leakage
- •Model serving
- •Drift detection
- •Monitoring
- •Rollbacks
DevOps Route
Automation, infrastructure, observability, and platform reliability.
- •Pipelines
- •Build/test
- •Artifacts
- •Release gates
- •Terraform basics
- •Environments
- •Secrets
- •State management
- •Metrics, logs, traces
- •Alerting
- •SLOs
- •On-call
- •Developer portals
- •Golden paths
- •Self-service
- •Policy-as-code
Build Plan: Clear Increments and Rewards
Each increment is a concrete deliverable. Complete them in order and collect milestone rewards.
- •Finalize core tracks and sequencing
- •Wire completion, XP, and streaks
- •Define clear outcomes for each module
- •Daily battle plan drills and timers
- •C/C++ fundamentals resource pack
- •Checkpoints and review prompts
- •Weekly boss fight assessments
- •Scoring rubrics and feedback loops
- •Promotion criteria for next phase
- •Unit/integration/e2e coverage goals
- •Accessibility and performance budgets
- •CI workflow for consistent quality
- •Copy pass and onboarding clarity
- •Progress share card and milestones
- •Release checklist and analytics hooks
Daily Track: Data Structures & Algorithms
Master the patterns that appear in 90% of coding interviews. Practice daily to build muscle memory.
Phase 1: The Foundation (Weeks 1–3)
Build a functional monolithic application with modern best practices.
- •React Hooks (useState/useEffect/useContext/useReducer)
- •Component lifecycle & performance optimization
- •State management patterns (Context API, Zustand)
- •Tailwind CSS + responsive design principles
- •Accessibility (ARIA, semantic HTML)
- •Build a responsive, accessible UI with strong state management.
- •Explain core React hooks and performance tradeoffs.
- •Ship a polished dashboard with persistence.
- •When should you use useMemo or useCallback?
- •What ARIA roles are required for a custom list UI?
- •HTTP verbs, status codes, and headers
- •Resource-oriented URL design
- •Request/Response validation (Zod, Joi)
- •Express.js middleware patterns
- •Error handling & logging best practices
- •Design clean REST APIs with validation.
- •Implement middleware for logging and errors.
- •Return consistent responses with correct status codes.
- •What is the difference between 400 and 422?
- •How does Express middleware order affect behavior?
- •SQL (PostgreSQL) vs NoSQL (MongoDB) - when to use each
- •ACID properties & transaction management
- •Database normalization & denormalization
- •Indexing strategies & query optimization
- •ORMs: Prisma, Drizzle, or Mongoose
- •Model relations and choose the right database.
- •Apply indexing for query performance.
- •Ship migrations with reliable data access.
- •When should you denormalize a schema?
- •How do you detect an N+1 query problem?
Phase 2: Production-Ready Backend (Weeks 4–6)
Harden your application with security, caching, and automated testing.
- •JWT vs session-based auth (tradeoffs)
- •OAuth2 & OpenID Connect (Google, GitHub login)
- •Password hashing (bcrypt, argon2)
- •RBAC (Role-Based Access Control)
- •OWASP Top 10: XSS, CSRF, SQL Injection, CORS
- •Implement secure auth flows with hashing.
- •Protect routes with roles and permissions.
- •Explain common OWASP risks and mitigations.
- •When should you use sessions instead of JWT?
- •How do you prevent CSRF and XSS?
- •Redis for caching & session storage
- •Cache invalidation strategies (TTL, LRU)
- •CDN basics (Cloudflare, CloudFront)
- •Database query optimization (N+1 problem)
- •Response compression & pagination
- •Design cache strategies with safe invalidation.
- •Measure and explain performance improvements.
- •Avoid common database bottlenecks.
- •When do you choose TTL vs manual invalidation?
- •What causes the N+1 problem and how do you fix it?
- •Unit tests (Jest, Vitest)
- •Integration & E2E tests (Playwright, Cypress)
- •Test coverage & quality metrics
- •CI/CD with GitHub Actions
- •Automated deployments & rollback strategies
- •Write a reliable test suite across layers.
- •Automate tests in CI for every change.
- •Plan safe deployments and rollbacks.
- •What is the difference between unit and integration tests?
- •What does coverage miss even when it is high?
Phase 3: System Design & Scale (Weeks 7–10)
Design and build systems that scale to millions of users.
- •Monolith vs Microservices (when to use each)
- •Load balancing (L4 vs L7, NGINX, HAProxy)
- •Horizontal vs vertical scaling strategies
- •Stateless vs stateful services
- •Service mesh basics (Istio, Linkerd)
- •Choose an architecture style for the problem.
- •Explain scaling tradeoffs with confidence.
- •Map services using the C4 model.
- •When would you choose a monolith over microservices?
- •What is the difference between L4 and L7 load balancing?
- •CAP theorem & consistency models
- •Eventual consistency & conflict resolution
- •Message queues (Kafka, RabbitMQ, SQS)
- •Rate limiting algorithms (Token bucket, Leaky bucket)
- •Bloom filters, Consistent hashing, HyperLogLog
- •Pick consistency models based on requirements.
- •Design async workflows with queues and retries.
- •Apply advanced data structures for scale.
- •When is eventual consistency acceptable?
- •How do token bucket and leaky bucket differ?
- •Capacity estimation & back-of-envelope calculations
- •Database selection (SQL vs NoSQL vs NewSQL)
- •Failure modes & fault tolerance
- •Monitoring & observability (Prometheus, Grafana)
- •Tradeoff analysis & storytelling
- •Estimate capacity and justify assumptions.
- •Choose databases and explain tradeoffs.
- •Design observability and failure handling.
- •What is a good back-of-envelope throughput estimate?
- •Which metrics define a healthy system?
- •Frontend + API + Database + Auth
- •Real-time features (WebSockets, Server-Sent Events)
- •Caching layer & CDN integration
- •Monitoring, logging, and alerting
- •Production deployment with zero-downtime
- •Ship a full-stack capstone with real-time features.
- •Deploy with monitoring and zero-downtime rollout.
- •Demonstrate production-readiness end-to-end.
- •When would you use WebSockets vs SSE?
- •How do you deploy with zero downtime?
Tip: Do Week 7 alongside System Design for faster intuition.