AI-Supported Development Coaching
iwow designed and established a modern, efficient, and secure way of working that leveraged AI tools like Cursor and Claude Code across both frontend and backend development — giving the team the practices, routines, and confidence to deliver faster, with higher quality and stronger security.
AI-assisted coding and automated suggestions cut development cycle times substantially, enabling faster iterations and more testable increments.
Structured review routines, peer-review checkpoints, and improved consistency through AI tools reduced recurring errors significantly.
Guidelines, validation criteria, and compliance routines embedded so AI-generated code meets the organisation's security standards at every step.
The client needed to accelerate their development cycles while maintaining high standards of quality and security. They wanted shorter lead times, fewer errors and less rework, faster iterations, and a stronger focus on security at every stage.
The organisation was eager to explore AI-supported development but lacked a structured approach to integrate AI tools into existing workflows without compromising quality or governance.
iwow designed and established a modern, efficient, and secure way of working that leveraged AI across both frontend and backend development. A structured operating model was introduced where AI tools supported the development process end-to-end — from generating initial code proposals to assisting with refactoring, debugging, and documentation.
- Identified suitable AI tools and development workflows (Cursor, Claude Code)
- Evaluated and established practical use of AI coding assistants
- Designed routines combining human expertise with AI-augmented development
- Implemented formalised review routines and peer-review checkpoints
- Defined guidelines for secure AI use in coding
- Established clear criteria for when AI-generated output must be manually validated
- Well-defined AI-enhanced development workflow supporting both frontend and backend work
- Significantly shorter development cycles through AI-assisted coding and automated suggestions
- Higher quality through structured reviews, improved consistency, and fewer recurring errors
- Increased security awareness with routines ensuring AI-generated code is validated and compliant
- Development environment where teams can test, iterate, and deliver with greater speed and confidence
- Organisation empowered to modernise development practices and accelerate innovation
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