Search

Lessons (40)

• Scalable Frontend Architecture

  Structure a growing frontend around features, clear ownership and stable boundaries so teams can add product work without …

• Python and Math Foundations with Runnable Examples

  Practice features, vectors, normalization, similarity, probability, and evaluation with Python's standard library. What you need These exercises …

• Data Preparation and Model Training

  … Useful feature work often means making values consistent and meaningful: normalize units, encode categories, handle missingness explicitly, or …

• Vertical Slice Architecture & the Modular Monolith

  Organise code by feature instead of by technical layer, and split a monolith into well-bounded modules that …

• YAGNI: You Aren't Gonna Need It

  Don't build features or flexibility until you actually need them. Learn why guessing the future is expensive …

• Atomic Design & Component Libraries

  … shared UI stays independent of product domains; feature code stays close to its use case. Templates make loading …

• Product-Scale Frontend Patterns

  Design optimistic workflows, feature flags, offline behavior, multi-tenant presentation and role-aware UI without treating the browser …

• Code Smells & Refactoring

  … 5. Don't mix refactoring with new features in the same commit. Wear one hat at a time …

• Microkernel (Plugin) Architecture

  A small, stable core plus independent plug-ins that add features. How VS Code, browsers, Webpack and ESLint …

• Deploying & Operating Microservices

  CI/CD per service, blue-green and canary releases, feature flags, API versioning, distributed tracing and the production …

• Machine Learning Fundamentals

  … More representative data, simpler models, regularization, or better features may help. A simple prediction example python Imagine a …

• Layered (N-Tier) Architecture

  … five folders for one feature. mermaid flowchart TB F["Feature: discount codes"] -- P[presentation/] F -- B[business/] F …

• What to Learn in AI, and in What Order

  … 3. Machine learning: Understand features, labels, training, validation, test sets, loss, overfitting, and metrics. Learn how to compare …

• Putting AI Systems into Production

  … Define an owner, incident path, and conditions for disabling the feature. Key takeaways - Production quality depends on application …

• Releases, Observability and Production Safety

  … A feature flag can turn off new behavior without redeploying, but it needs an owner and removal date …

• Resilience, Disaster Recovery and Multi-Region Design

  … serve cached or reduced features rather than errors. - Use health checks that reflect real readiness, but beware shallow …

• Choosing an Architecture

  … new features and migrated routes go to the new system until the old one can be switched off …

• What Is Artificial Intelligence? A Developer's Guide

  … Monitor failures and provide a fallback. Try it yourself Choose three features in an app you already know …

• AI Specialties and Real-World Examples

  … estimates Forecast daily orders Temporal splits, seasonality, lag features, uncertainty Anomaly detection Observations → unusualness score Flag unexpected server …

• Kafka vs RabbitMQ & the Kafka Ecosystem

  … Consumers pull at their own pace Per-message features Priorities, TTL, delays, per-message ack/nack Batches, offsets …

• What Is Software Architecture?

  … the "-ilities" Features describe what a system does. Quality attributes describe how well it does it. Architecture is …

• Resilience Patterns

  … fail clearly and let the user retry Decide in advance which features are critical (must work or fail …

• AI Agents and Tool Use

  … Autonomy is a risk and complexity decision, not a feature to maximize. Key takeaways - The application, not the …

• DynamoDB Modeling, RDS Scaling and Data Resilience

  … provisioned with auto scaling for steady traffic. Useful features Feature Use --- --- TTL Background expiry cleanup; not an immediate …

• Prompting and Structured Outputs

  … application logic, prefer a schema or constrained-output feature offered by the model provider over asking for “valid …

• Neural Networks and Deep Learning

  … loss on examples. mermaid flowchart LR X[Input features] -- L1[Linear layer] L1 -- A1[Activation] A1 -- L2[Linear …

• Your First Terraform Project

  … Specific provider versions and features still need compatibility checks. This is a minimum for the examples, not a …

• Structural Patterns: How to Connect Objects

  … making incompatible pieces fit, adding features without editing classes, and hiding complexity behind simple fronts. --- 1. Adapter 🔌 Analogy …

• SOLID at a Glance

  … new features by adding code, not rewriting it. A tiny before/after preview js // ❌ Breaks almost every SOLID …

• O — Open/Closed Principle

  … Add new features by plugging in new code instead of editing code that already works. The big idea …

• Train Your First Model from Scratch

  … Keep future information, such as actual arrival time, out of input features. Use separate training, validation, and test …

• What Is Clean Code?

  … xychart-beta title "Time needed to add one feature" x-axis ["Month 1", "Month 3", "Month 6", "Month …

• Which Pattern Do I Need?

  … br/ fit my interface"] -- AD[Adapter] P5["Add features without<br/ editing a class"] -- DE[Decorator] P6["Complex …

• Developer Learning Plan and Document-Assistant Capstone

  … Prompts and structured outputs Specify a ticket-extraction feature Validate fields and handle absent information Week 6 Retrieval …

• Service Communication: Sync vs Async

  … a cached value, a default, or a degraded feature. All covered in Resilience Patterns . Avoid chatty services mermaid …

• Delivery Guarantees: At-Most, At-Least & Exactly Once

  … real exactly-once guarantees within Kafka , using two features. 1. Idempotent producer (no duplicates on write) Covered in …

• Backend Languages: Node.js, Go, Python & Rust

  … data; FastAPI for modern APIs, Django for full-featured apps. - Rust: top performance with compile-time safety, at …

• Internals, Upgrades, Resilience and Interview Questions

  … The cost is extra complexity and resource use, so adopt it when you need those features at scale …

• Observability: Logs, Metrics & Traces

  … 3 minutes 26 seconds Error budget left → ship features fast. Budget burned → focus on reliability. Alerting that doesn …

• Frontend Performance & Core Web Vitals

  … admin"] end subgraph Split["✅ Split by route and feature"] H["home.js 80 KB"] D["dashboard.js (loaded …