GreenCharge Autopilot: ENACT runtime adaptation for Kubernetes (Veles Hack 2026, Challenge 3, Team Harrie)
-
Updated
Oct 7, 2026 - Java
GreenCharge Autopilot: ENACT runtime adaptation for Kubernetes (Veles Hack 2026, Challenge 3, Team Harrie)
Next.js SignalR chat client with explicit connection lifecycle management and a native LNASF retry policy that learns connection outcomes, selects bounded retry delays, and preserves deterministic fallback with runtime diagnostics.
NestJS and Socket.IO chat backend with validated event handling, live presence, and a native LNASF learning model for bounded typing-burst adaptation, deterministic fallback, runtime metrics, and live transport tests.
ASP.NET Core 8 SignalR chat backend with validated Hub events, a native C# LNASF typing-burst adaptation service, deterministic fallback, runtime metrics, and live Hub integration tests.
An Angular 19 reference implementation of LNASF, featuring a native TypeScript transition model, policy-constrained route preloading, deterministic fallback, and runtime metrics.
React and Socket.IO real-time chat client built with Vite, featuring bounded message history and a native LNASF reconnect policy that learns retry outcomes, enforces retry limits, and exposes runtime diagnostics with deterministic fallback.
Real-time chat backend built with Express and Socket.IO, featuring validated events, live presence, and a native LNASF learning policy for bounded typing-burst adaptation, deterministic fallback, and runtime metrics.
Next.js dashboard reference demo for selected LNASF principles: bounded session learning, evidence-gated layout suggestions, user-approved adaptation, and deterministic fallback.
Proposed research framework for a testable software-component contract covering runtime observation, online learning, evidence-based prediction, gated adaptation, deterministic fallback, and outcome evaluation.
To associate your repository with the runtime-adaptation topic, visit your repo's landing page and select "manage topics."