sdlc

Breakthrough Method for Agile Ai Driven Development

Automated Security Testing For REST API's

Faster than your agent alone. And better. A workflow plugin that takes a bug, idea or ticket to a verified pull request: specs, cross-model review by risk, live QA, receipts in your repo. Claude Code · Codex · Cursor · Droid · Grok Build · OpenCode.

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.

From ticket to reviewed pull request. Free and open-source, on your machine.

DEPRECATED / UNMAINTAINED — historical reference only. Do not install or rely on this project.

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.

Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.

The practices that made software work didn't stop working. They stopped keeping up. PAAD brings them back at AI speed.

Corsair_scan is a security tool to test Cross-Origin Resource Sharing (CORS).

Tu equipo de desarrolladores en un plugin. 10 agentes, 11 skills planas, 18 comandos /alfred-dev:*. Memoria persistente, quality gates con evidencia y MCP local.

sdlc_python 是一个基于python语言构建的devsecops平台，旨在促进 DevSecOps 和安全开发生命周期 (SDLC) 实践。它通过模拟常见漏洞来增强开发人员的安全意识(对应sdlc中对开发人员的安全培训)，并且使用了大模型进行代码安全审计（对应sdlc中代码审计阶段），帮助企业进行安全左移。除了用于 DevSecOps 实践外，sdlc_python 还可以用于学习漏洞知识、渗透测试和代码审计。本项目采用了前后端分离的设计模式，其中后端利用了轻量级框架 Flask，而前端则使用了 Vue 3。

Local-first, spec-driven SDLC workbench with governance gates, knowledge graphs, and MCP for AI coding agents.

Dependency Combobulator

YamlQL - Query your YAML files with SQL and Natural Language

This repo contains AI-powered software development patterns showing how to integrate agentic AI in different stages of software development lifecycle using Kiro, Amazon Q Business and Amazon Bedrock. This collection of patterns demonstrates practical approaches for leveraging AWS's generative AI capabilities across the software dev

Reusable Codex + Claude Code skill and plugin implementing Anthropic's AI-Native SDLC: Plan → Design → Build → Test → Deploy → Maintain, with human approval gates at every handoff.

♾️ Collection of DevSecOps Notes + Resources + Courses + Tools

AI-native SDLC skills for Claude Code: requirement intake & audit, adversarial review gate, AI test orchestration, decision re-check, release config audit

Guide, Roadmap and List of resources for a Software Tester/Quality Assurance/Test Automation Engineer