AI-Assisted Delivery at MOC Global
"No matter the AI you choose, the responsibility for the results remains in your hands."
At Master of Code Global, AI is applied as a quality multiplier, not just a speed tool.
We embed AI across discovery, engineering, and quality workflows — and reinvest efficiency gains into deeper quality layers: higher test coverage, better documentation, and more thorough edge-case handling.
The result: more robust deliverables within the same investment, with ownership, accountability, and release authority remaining fully human-owned.
Accelerated Understanding (Discovery & Design)
- AI synthesizes large volumes of input early, enabling clearer specs from day one and fewer back-and-forth clarification cycles.
- Tools include Firefly (structured insight extraction), GitHub SpecKit (early technical drafts), and NotebookLM (living knowledge repositories).
Engineering Acceleration (Development)
- AI acts as a pair-programming layer — time saved is reinvested into writing more tests, better documentation, and handling edge cases.
- Tools: Cursor, GitHub Copilot, Claude, Grammarly, and Glia AI for coding, reviews, and documentation.
- All architecture decisions, code reviews, and production readiness remain human-led.
Expanded Confidence (Testing & Quality Engineering)
- AI enables dramatically broader test scenario coverage — what previously achieved 70% coverage now reaches 90%+ in the same timeframe.
- Stack: LLM-based Sim Users, Langfuse observability, Playwright for deterministic testing, Promptfoo & Giskard for AI quality validation.
- Final QA approval and release decisions are always human-led.
higher test coverage, better documentation, edge-case handling, and code quality layers that prevent costly production issues.
a shortcut to bill less or deliver faster at the expense of quality. Human oversight, review, and approval remain mandatory.
Your investment delivers more comprehensive quality than traditional development — efficiency gains are reinvested into: