Technologies We Coach Around

Candidates do not need to know every tool. We help them build practical understanding around common software engineering stacks and workplace expectations.

Frontend Development

  • React
    Component thinking, hooks, state, and practical UI patterns
  • Next.js
    Routing, rendering, deployment, and full-stack app structure
  • Vue.js
    Frontend fundamentals through another common framework
  • TypeScript
    Types, interfaces, generics, and safer code habits
  • Tailwind CSS
    Utility-first styling and responsive UI practice

Backend Development

  • Node.js
    APIs, async code, backend structure, and common tooling
  • Python
    Scripting, backend basics, automation, and data workflows
  • .NET
    Enterprise backend patterns and C# development concepts
  • Java
    Object-oriented design and service-oriented backend work
  • Go
    Service development, concurrency basics, and systems thinking

Application Development

  • React Native
    Cross-platform app concepts and component reuse
  • Flutter
    UI composition and mobile development concepts
  • Swift
    iOS language basics and platform expectations
  • Kotlin
    Android language basics and modern app patterns
  • Ionic
    Hybrid app structure and web-to-mobile concepts

Databases

  • PostgreSQL
    Relational design, SQL, indexing, and query practice
  • MongoDB
    Document modeling and NoSQL tradeoffs
  • Redis
    Caching concepts and in-memory data use cases
  • MySQL
    Core SQL skills and common relational workflows
  • Elasticsearch
    Search concepts and data indexing basics

Cloud & DevOps

  • AWS
    Cloud fundamentals, deployment concepts, and common services
  • Docker
    Containers, images, local environments, and deployment basics
  • Kubernetes
    Container orchestration concepts and production vocabulary
  • CI/CD
    Build pipelines, testing steps, and release workflows
  • Terraform
    Infrastructure as code concepts and environment setup

Product & UX

  • Figma
    Reading designs and collaborating with product teams
  • Adobe XD
    Understanding UX artifacts and design handoff
  • Sketch
    Working with common design files and UI specs
  • InVision
    Prototype review and stakeholder feedback workflows
  • Design Systems
    Component libraries, tokens, and consistent UI work

AI & Machine Learning

  • AI Study Tools
    Using AI to explain concepts, review code, and plan practice
  • Prompting
    Asking better questions and validating generated answers
  • OpenAI API
    Understanding how AI features are integrated into products
  • Natural Language Processing
    Text analysis concepts and common AI use cases
  • Model Limits
    Recognizing hallucinations, gaps, and responsible tool use

Security & Compliance

  • OAuth 2.0
    Authorization flows and secure app access
  • JWT
    Token-based authentication concepts
  • SSL/TLS
    Secure communication basics
  • Data Privacy
    Handling user data with care and professional judgment
  • Secure Coding
    Common risks, review habits, and prevention basics

Our Technical Coaching Approach

We connect tools to real engineering judgment, not memorized buzzwords.

Role-Relevant Focus

We focus on the technologies and concepts most relevant to the roles a candidate is pursuing.

Best Practices

We reinforce clean code, testing, debugging, documentation, and communication habits that matter on real teams.

Continuous Learning

We help candidates build repeatable learning habits so they can keep adapting as tools and hiring expectations change.

AI-Aware Practice

We encourage responsible AI-assisted learning while making sure candidates can explain and own their work.