Sahin AI Rules is a comprehensive framework that turns AI assistants into disciplined, systematic, and results-oriented development partners, designed for teams seeking to improve productivity, quality, and traceability
Introduction to the approach: this system prevents immediate action without planning, improves context management, ensures consistent quality, and promotes testing from the user experience
Core philosophy: plan before acting, prioritize high-return-on-investment development, and always validate with end-to-end tests that represent real user flows
How it works in practice: receive user request, analyze requirements, generate structured plan with tasks and estimates, request approval, and create a todo file that guides execution through small, verifiable tasks
Summarized visual architecture: workflow routing system that loads dynamic rules based on keywords, creates todo templates, runs cycles with context limits, and maintains a changelog with results and changed files
High-ROI development strategy: prioritize low-LoC, high-impact changes, reuse existing components, and limit new code to only what is strictly necessary
Testing first with Playwright approach: write E2E tests based on user stories, implement the minimal interface and logic to pass the tests, verify, and refactor
Context window management: break down large features into tasks that consume at most 70 percent of the context budget per task to maintain session performance and coherence
Rules system: base rules always loaded for flow, code standards, and documentation, plus conditional rules activated by keywords such as API, test, React, database, or deploy
Todo-driven methodology: each approved plan is transformed into a todo file with a queue of pending, active, and completed tasks, with acceptance criteria and estimated ROI and LoC metrics
Intelligent testing strategy: run only the tests affected by the change, prioritize E2E for user flows, and automate test selection to reduce feedback time
Development standards: priority on cybersecurity-type security, deployment security, ensuring TypeScript typing, linting, and recommended test coverage above 80 percent
Practical implementation: copy rules to the project's rules folder and place the configuration file at the root so the AI assistant loads and follows the guidelines; configure todo templates and CI/CD pipeline
Recommended success metrics: average context usage below 70 percent, task completion rate above 95 percent, code reuse greater than 80 percent, and E2E coverage for all critical user flows
Expected benefits: more planning time, fewer lines of code, increased test coverage, drastic reduction in rework, and faster feature delivery
About Q2BSTUDIO: we are a custom software development company specialized in custom applications, custom software, artificial intelligence, and cybersecurity. We offer AWS and Azure cloud services, business intelligence services, and Power BI solutions for visualization and decision-making
Our services include developing AI solutions for businesses, consulting on custom AI agents, model integration, intelligent automation, and infrastructure protection with advanced cybersecurity practices
Why choose Q2BSTUDIO: we combine software engineering experience with specialization in artificial intelligence and security to deliver robust, scalable products aligned with business objectives
Keywords for positioning: custom applications, custom software, artificial intelligence, cybersecurity, AWS and Azure cloud services, business intelligence services, AI for businesses, AI agents, Power BI
How to get started with Sahin AI Rules and Q2BSTUDIO: contact our team to evaluate your workflow, integrate the rules framework into your repository, define todo templates, and configure testing and deployment pipelines to achieve fast, high-quality deliveries
Call to action: transform your AI assistant into a disciplined development partner and achieve greater speed, less code, and greater impact for your users with Q2BSTUDIO's experience in custom solutions and artificial intelligence for businesses
