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In a previous-employment SaaS project I led, the team was building a website-engagement tool with time-limited promotional messages, animations, placement controls and calls to action.
We initially followed a familiar sequence: requirements, development, QA, defect fixes and another round of validation. The repeated development-to-QA handoffs took time. During the project, we introduced AI-assisted development and an AI QA pass before the final testing stage. Developers reviewed suggested fixes; independent human QA remained in place.
That's the kind of delivery problem I work on: seeing where work returns for correction, what each review is meant to establish and where a process change is justified.
I'm Md. Munir Iftekhar, a Project Delivery & AI Workflow Consultant and independent consultant with The Tech Manager's Playbook. My overall professional experience spans 14+ years.
Here's the previous-employment case: https://contra.com/p/OOB3ORqm-ai-assisted-development-and-qa-or-internal-workflow-implementation
If you're dealing with development-to-QA handoffs, I'd be interested in hearing which part of that loop causes the most delay for your team.
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