Purpose: If you are using AI-Coding, benefit from AI-acceleration without the risks by immediately transforming tools like Github Copilot and Claude from a simple code generator into an engineering partner that understands and protects code quality.

Purpose: Get real-time IDE feedback and a Code Health Monitor feature that flags code health issues early, ensuring clean commits every time.

Limitations: The Monitor does not currently respect your selected quality gate profile. E.g., Bare Minimum. This is prioritised on our roadmap.

Purpose: Lead the future of software excellence by mastering Technical Debt, CodeHealth™ and AI-driven development for guardrailing and elevating codebases that aren’t yet AI-ready. All while earning globally recognised certifications.

Purpose: In this talk, Adam speaks to developers, approaching code from the perspective of the human brain. Starting from common problematic constructs such as null-references, edge-cases, and complex conditional code, we discuss their cognitive costs and consequences.