software-development-lifecycle

IT 140 Module Two assignment for developing a beginner Python name-and-age program while practicing the Software Development Life Cycle (SDLC), including analysis, design, construction, testing, and debugging.

IT 140 Module Three assignment repository for designing a Python paycheck calculator with flowcharts and pseudocode. Uses an SDLC workflow to practice requirements analysis, decision branching, software design, and optional Python construction and testing.

IT 140 Module Four assignment repository for designing a Higher/Lower Game with pseudocode. Uses an SDLC workflow to practice input validation, decision branching, loops, software design, and optional Python construction and testing.

An e2e pipeline using dlt, dagster, duckdb, and dbt-core

IT 140 Projects repository for designing, prototyping, developing, and testing a Python text-based adventure game across Modules Five–Seven. Uses an SDLC workflow to connect Project One game design, the Module Six prototype milestone, and Project Two final implementation.

Modular open-source framework for AI agents to autonomously execute the full SDLC. 5-phase structured lifecycle with quality gates and fail-safe protocols.

The Algorithmic Stock Trading project automates stock trading decisions using predefined algorithms. It allows for automated trading, backtesting of strategies on historical data, fetching real-time stock market data, and analyzing the performance of trading strategies with detailed metrics and visualizations.

The Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development leverages advanced technologies and specialized agents to streamline the entire software development lifecycle. This repository is django based rest api of this project

A learning portfolio for ITAP1001 Software Development Fundamentals, including programming concepts, program design and Python practice.

My software engineering practice, distilled into reusable skills and workflows for Codex, Claude Code, and AI coding agents.

Project for CPS 406 (Introduction to Software Engineering)

GATE — Governed, Assisted, Traceable Engineering. An AI-assisted SDLC framework: stages, skill contracts, human gates and continuous learning.

The AI-Native SDLC as a Claude Code skill — Plan, Design, Build, Test, Deploy, Maintain with a versioned artifact chain, human approval gates, and tiered model routing. Any language, any project.

Waterfall-style project management, split in two by a rock.

cc-sdlc process knowledge forgets nothing. Deliverables, playbooks, and discipline captures persist across context clears and become searchable memory for every session.

AI-Native Software Development Lifecycle for Claude Code — 15 role-based skills covering every SDLC phase, from project kickoff to production monitoring. Works with superpowers plugin, OpenRouter council, and Playwright MCP.

Full dev-lifecycle skill for Claude Code (+ Qwen): brainstorm or ticket to shipped code, with classification gates, TDD, systematic debugging, and verification. .NET + Angular defaults, config-overridable for any stack.

Automate the entire Software Development Lifecycle.

Turn YouTube videos into traceable software requirement specs with two decoupled Claude Code skills: lossless metadata/transcript extraction, then Module→Feature→Requirement generation where every requirement links back to the exact transcript segment.

Hangman is a common interview coding challenge. The purpose is to design a program to play the elementary game, Hangman, in the terminal. The exercise enables the programmer the opportunity to demonstrate proficiency in their language of choice and grants the interviewer an opportunity to view the coding practices of the programmer.