Artificial Intillegence

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Project *AFC APPFORSOLARArtificial Intillegence  » Algo Trade Automation  » Algo Trade Manual  » Bulk mail Automation with web interface  » Bulk Mail Service For Bench Sales  » Code Generation Tool  » Cold Emailing Automation (AI-Driven)  » Invoice Inventory Automation  » invoice to inventory for evergreen  » Test Automation  » What's app Bulk messaging with AI agents  » Zelle Payment for evergreenCharan Technologies _ DevelopmentEver green Farms USA (static website)Evergreen farms (pos)Evergreen React ApplicationFinwareGas Station ERPHackthonIT HappENSLucky BraidsMy Produce StandNexPumpNexZen Printer AgentNoxa_JewelleryOffice Requirments  » Daily Tasks For Madhu  » Employees requirements  » Recruitment senior mern stack developer  » Red MIne Speed  » Senior Mern Stack DeveloperQA TestersRare FruitsRegal SolarRegal Solar DMRegal Solar Energy_ ReactReliance Home Builders_ reactRemit2AnyRestaurant POSRSVPRushi GardensRV_ EngraverSoloar AppSri Farms _ DMSri_FarmsTech FourceTechnical RequirementsTechy_DevelopmentTechy_POS Travel Mate

Tracker *Bug Feature Support Testing

Subject *

Description Edit AI Research and Work Update Suthra Technologies April 6 and April 7, 2026 Total Effort 16 Hours April 6, 2026 8 Hours AI-Based Testing Research 4 Hours Researched AI-powered QA automation frameworks and prompt engineering approaches for project scanning, PRD generation, and automated test case creation. Studied advantages over manual testing such as faster execution, reduced errors, and improved scalability. Compared prompt-based testing with traditional methods. Prompt Engineering Study 4 Hours Analyzed structured prompts including Prompt 0 for project analysis, Prompt 0.5 for PRD generation, and Prompt 1 for functional test cases. Understood how to extract APIs, database schemas, and project structure. Prepared approach for applying these in real projects. April 7, 2026 8 Hours Training Session for Manual Testers 2 Hours Conducted a session on AI-powered automation testing using prompt frameworks. Covered over 520 prompts and explained project scanning, PRD generation, and functional test case creation. Demonstrated usage through VS Code and AI tools. Advanced Topics Discussion 2 Hours Discussed boundary testing, UI and UX validation, security testing, and API testing. Introduced Playwright automation and clarified IDE-related queries. Practical Implementation Guidance 2 Hours Assigned tasks for project scanning and PRD generation. Guided team on executing prompts, analyzing files, and working with large codebases. Research Extension and Optimization 2 Hours Explored improvements such as reusable prompt libraries, standardized QA workflows, and integration of AI with Playwright for end-to-end automation. Outcomes Developed understanding of AI-driven QA automation and trained manual testers on prompt-based testing. Established a base for automated documentation and test case generation.