Skip to content
AI Transformation

From Traditional to AI-Native PDLC

Product, Engineering, & Design practitioners now speak the same language: code.

Research report — executive summary with key strengths and areas for improvement
Research report — study objective and AI-moderated testing methodology
Research report — participant background table across nine IT admin roles
Research report — 'Pragmatic Power Admin' persona profile with proficiency and pain points
Research report — 'Strategic Architect' persona profile with proficiency and pain points
Research report — key finding on workflow safety with supporting participant quotes
Research report — quantitative usability scores by participant
Research report — suggested next steps with rationale and execution plans
Slide titled 'We've Been Building the Right Things the Traditional Way' listing four pain points of the legacy loop: long handoff chains between PM, Design, and Eng; static prototypes that don't reveal real behavior; expensive feedback loops; and design and engineering speaking different languages late in the cycle.
The diagnosis we walked in with — the loop that had always worked, now visibly out of step.
A JC Skills node branching to Circuit DS, Tech Writing, AWS Deployment, and Eng Best Practices, shown alongside a dark code editor file — circuit-ds/usage-patterns.md — listing eleven numbered gotchas covering DataTableToolbar, ActionMenu, ActionsToolbar, AppNavigation, FormField, DataTable, FilterModal, ToastNotification, and PageHeader.
Skills, rules, and usage patterns — the vocabulary we handed Cursor so it could speak in our tokens.
Workflow diagram mapping Cursor Skills and the design system through five product lanes — Devices, Identity, Access, Workflows, Settings — into two collaboration zones: PM + Designer Collaboration (new branches, revise the design, live testing, shareable URLs) and ENG + Designer Collaboration (share for business logic, QA and refinement, push back to main).
From a handoff to a shared surface.

“The front-end used to separate design from engineering. Now they build in it together.”

Three-card diagram under the heading 'One shared language: code.' 01 Prototype (Product Manager) — PRD to functioning prototype using JumpCloud design system components. 02 Refine & Validate (Design Engineer) — polished experience, deployed to AWS, real customer research from a live URL. 03 Ship (Engineering + Design Engineer) — production-ready, backend-complete, QA-validated. Footer: Code and context passes forward each phase.
Three phases, one shared language — each one hands code forward instead of a spec.
Table titled 'What This Changes — For Everyone' with three columns: Team, Before, After. Rows: PMs to Builders — writing specs, waiting for mocks to building prototypes, driving research. Product Designers to Design Engineers — late-stage polish to shaping the experience from day one. Manual Engineers to AI-Assisted Engineers — frequent scope changes, unclear intent to clear validated spec, faster execution. Manual QA/QE to Testing Automation — catching problems late to validating a pre-tested experience. Customers — seeing it at launch to shaping it before launch.
What changed, role by role — every seat at the table moved one step earlier in the loop.