GrepX Developer Toolkit

Master the exact tools top engineers use daily - Git, VS Code, Cursor, Copilot, Claude, Docker, CI/CD, and Agile. Your first step to becoming industry-ready.

12 modules Modern dev stack Production workflow

Courses

GREPX TOOLKIT

LIVE SESSION

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SLIDE 01 / 12

GREPX

Developer Toolkit

12 essential systems behind modern engineering workflows

Git & Version Control

VS Code & IDEs

Agile Methodology

CI/CD & DevOps

StockSense Capstone

GIT

Version Control System

# Industry Standard

Why use it

Version Control That Prevents Chaos

Track every change — Full history of your codebase. Revert to any point in time.

Branching & merging — Work on features in isolation, merge when ready. No conflicts.

Collaborate at scale — Thousands of devs work on the same codebase (Linux, VS Code, React).

GitHub / GitLab / Bitbucket — Push to the cloud. Open source. Pull Requests. Code reviews.

Alternatives

SVN (Subversion)

Centralised — older enterprise teams

Mercurial (Hg)

Distributed, simpler than Git

Perforce (Helix)

Large binary assets — game studios

Azure DevOps TFVC

Microsoft enterprise ecosystem

VS CODE

Code Editor · By Microsoft

# Most Used Editor

Why use it

One Editor for Fast, Focused Shipping

Lightning fast & free — Lightweight, opens instantly, no licence cost.

50,000+ Extensions — Python, Docker, AI Copilot, Prettier, ESLint — install anything.

Built-in debugger & terminal — Set breakpoints, inspect variables, run shells — all in one window.

GitHub Copilot / AI built-in — AI code completion, chat, and refactoring natively.

Alternatives / Specialised IDEs

PyCharm

Python specialist — best debugger

IntelliJ IDEA

Java / Kotlin powerhouse

CLion

C / C++ with smart refactoring

WebStorm

JavaScript / TypeScript / React

Sublime Text

Ultra-fast, minimal, multi-cursor

Cursor AI

VS Code fork built for AI coding

AGILE

Software Development Framework

# Scrum / Kanban

Why use it

Execution Rhythm for Teams That Ship Weekly

Iterative delivery — Ship working software every 2 weeks (sprint). Get feedback early.

User stories & backlogs — Requirements written from the user's perspective. Prioritised by value.

Daily standups — 15-min syncs. What did I do? What will I do? Any blockers?

Used by Netflix, Spotify, Amazon — Scales from startups to enterprise with Scrum of Scrums / SAFe.

Alternatives & Flavours

Kanban

Visual flow boards — no sprints

Waterfall

Sequential phases — contracts / gov

SAFe

Scaled Agile — large organisations

Extreme Programming

TDD, pair programming, CI focus

CI / CD

Continuous Integration & Delivery

# GitHub Actions

Why use it

Release Pipelines That Enforce Quality

Auto-run tests on every push — Broken code never reaches main. Quality gate enforced.

Build & package automatically — Docker images built, versioned, pushed to registry on merge.

One-click deploys — Push to main → tests pass → auto-deploy to staging or production.

Faster delivery cycles — Companies deploy 100s of times per day. Zero downtime.

Alternatives & Tools

GitLab CI/CD

Integrated with GitLab repos

CircleCI

Fast parallel pipelines

Jenkins

Open source, self-hosted, mature

Azure Pipelines

Microsoft ecosystem, enterprise

DOCKER

Containerisation Platform

# Run Anywhere

Why use it

Build Once, Run Reliably Everywhere

Package your entire app — Code + runtime + libraries in one portable container image.

Identical environments — Dev, staging, and prod all run the exact same container.

Spin up instantly — Start a PostgreSQL + Redis + app stack in seconds with Docker Compose.

Gateway to Kubernetes — Scale from 1 container to 10,000 with K8s orchestration.

Alternatives

Podman

Daemonless, rootless containers

Kubernetes

Container orchestration at scale

Vagrant

VM-based dev environments

LXC / LXD

Linux containers, OS-level

DATA SCIENCE

Python Analytics Stack

# Pandas · NumPy · ML

Why use it

Turn Raw Data Into Decisions

Pandas & NumPy — Load, clean, transform millions of rows in seconds. The backbone of data work.

Matplotlib & Plotly — Visualise stock trends, trading volumes, portfolio performance interactively.

Scikit-learn — Predict stock direction with ML models: regression, classification, clustering.

Jupyter Notebooks — Run code cell-by-cell, document findings, share with stakeholders as HTML/PDF.

Ecosystem & Alternatives

Apache Spark

Big data — distributed processing

R Language

Statistical computing specialist

Tableau / Power BI

No-code visual dashboards

Databricks

Cloud notebooks + Spark

PYTHON
FASTAPI

Backend Development

# REST APIs & Services

Why use it

Production APIs That Power Real Products

FastAPI is blazing fast — Async Python, on par with Node.js and Go. Auto-generates OpenAPI docs.

Type-safe with Pydantic — Define data models once. Validation, serialisation, docs — all automatic.

Auth built-in patterns — JWT tokens, OAuth2 flows, middleware — production-ready security.

Used in our StockSense project — Trade orders API, portfolio endpoints, live price streaming.

Alternatives

Django

Batteries included — admin, ORM, auth

Node.js / Express

JavaScript backend, event-driven

Spring Boot

Java enterprise — robust, scalable

Go / Gin

Ultra-fast compiled microservices

POSTGRES

Relational Database

# SQL + JSONB Power

Why use it

A Reliable Data Layer for Serious Systems

ACID compliant — Every trade in StockSense is guaranteed: Atomicity, Consistency, Isolation, Durability.

Powerful SQL + JSONB — Complex joins, window functions, store flexible JSON — one DB to rule them all.

Redis for caching — Pair PostgreSQL with Redis to cache live stock prices at millisecond speed.

ORM with SQLAlchemy — Write Python objects, auto-generate SQL. Migrations with Alembic.

Alternatives

MongoDB

Document store — flexible schema

MySQL / MariaDB

Classic web stack — LAMP

Redis

In-memory — cache & pub/sub

Snowflake

Cloud data warehouse / analytics

CLAUDE AI

AI-Powered Development

# Auto-Test · Code Review

Why use it

AI Pair Engineering for Code, Tests, and Review

Auto-generate tests — Paste your function, get full unit + edge-case tests. 10x faster TDD.

Code review in CI/CD — Claude scans every PR: bugs, security issues, style violations — before merge.

Explain & document — Auto-generate docstrings, README files, API documentation from code.

StockSense AI insights — Feed trade data to Claude, get natural-language portfolio analysis.

AI Tool Ecosystem

GitHub Copilot

Inline code completion in VS Code

ChatGPT / GPT-4o

General-purpose AI assistant

Gemini Code Assist

Google's AI coding assistant

Cursor AI

AI-first VS Code fork

TESTING

Quality Assurance Automation

# Unit · E2E · TDD

Why use it

Quality Systems That Catch Bugs Before Users Do

Unit tests (Pytest) — Test each function in isolation. Catch regressions before they reach users.

Integration tests — Verify API endpoints, DB writes, and service interactions work end-to-end.

E2E with Playwright — Simulate a real user clicking through the StockSense dashboard in a browser.

TDD mindset — Write tests first, code second. Leads to cleaner design and fewer bugs.

Testing Frameworks

Pytest

Python — simple, powerful fixtures

Playwright

E2E browser automation

Jest

JavaScript unit & snapshot tests

Postman / Bruno

API testing & collections

STOCK
SENSE

Capstone Project — GrepX

# Real World Build

Capstone Project Overview

Apply the Full Toolkit in One Real Build

Business Logic

Live stock price ingestion (API)
Buy / Sell signal generation
Portfolio P&L tracking
Risk management rules
Trade history & reporting

AAPL +2.3%

NVDA +5.1%

META -1.2%

Tech Applied

Python + FastAPI backend
PostgreSQL trade database
Redis live price cache
React + Plotly dashboard
Claude AI — trade insights
GitHub Actions CI/CD
Docker containerised deploy