Why Traditional Engineering Metrics Fail with AI

In the era of AI-accelerated development, counting lines of code, PR volume, or commit counts is completely obsolete. A junior engineer copying large generated code blocks can outpace a senior architect who spent hours creating the right context boundaries, system prompts, and regression guardrails.

R&D Workforce (live at rnd-workforce.kasercorp.com) was designed from the ground up to evaluate senior architects and engineering teams on true leverage: architectural integrity, context infrastructure quality, and real-time velocity pacing.

🤝 Three-Way Task Agreement
AI estimates sprint tasks, the engineer counters with technical specifics, and the manager approves with zero ambiguity.
⚡ Delta Velocity Meter
Live pacing metric showing whether sprints are beating estimates (<0.9), on plan (0.9-1.2), or requiring retrospective analysis (>1.2).
🛡️ Guardrail Drift Auditing
Monitors context quality, regression rates, and system architectural drift across all multi-agent lanes.
🔐 T0 Access Boundaries
Pre-flight permission verification and secure role-based access grants tied directly to PR evidence.

Developer Console Experience

Featuring a high-contrast dark theme, JetBrains Mono typography, GitHub PR integration, and Claude-backed daily review assistants, R&D Workforce provides the modern workbench engineering leaders need.

Modernize your engineering evaluation

Deploy R&D Workforce for your architecture and engineering teams.

🚀 Launch R&D Workforce