Aptech Vision 2026 — Competition Entry

Code the future of
higher learning.

Sandboxed workspaces, real-time multi-cursor collaboration, and responsible AI assistance — engineered for research universities.

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Real-time, in-browser IDE — built for the cohort.

Every student, instructor, and TA shares one cursor-aware environment. No setup, no drift, just code.

VisionLab — workspace/src/architecture.ts

// VisionLab Architecture Module
import { QuantumCore } from './QuantumCore'
export interface WorkspaceConfig {
sandboxed: boolean
maxCursors: number
aiMode: 'socratic' | 'guided' | 'autonomous'
}
export class VisionEngine {
private core = new QuantumCore()
async initialize(config: WorkspaceConfig) {
await this.core.boot(config)
}
}

Prof. Aris, Marcus V., Alina K., Sana D. + 20 more

Five primitives. One platform.

Sandboxed Nodes

Isolated, ephemeral containers spin up per student in under a second. Zero local config.

Multi-Cursor Sync

Sub-frame latency cursors with faculty governance baked into the protocol layer.

Responsible AI

AI that explains reasoning before answers. Audit trail on every completion.

Live Sessions

WebRTC voice & video stitched into the editor — office hours, anywhere.

LMS Sync

Native bridges to Canvas, Moodle, Blackboard. Grades flow back automatically.

The instructor command
deck.

Observe an entire lecture hall in real time. Peek into any workspace, broadcast intent, throttle resources, and replay sessions for review — all from one console.

Live Telemetry

Per-student keystrokes, compute spend, AI usage — streaming.

Resource Throttling

Cap CPU/GPU per cohort. Burst budgets, audited.

Session Replay

Scrub through any session like a video. Diff every commit.

Aris N.

Marcus V.

Alina K.

Sana D.

Jake P.

Chen W.

Omar F.

Lisa T.

Ryan M.

Dev S.

Amy L.

Noah R.

Zara K.

Leo H.

Mia C.

AI as a teaching assistant
— not an answer machine.

Every completion is logged, attributed, and graded against academic-integrity policy. Students learn the why before the what.

Student asks.

Why is my binary search returning -1 on a sorted array of 1M ints?

AI reasons.

// Analyzing student's code...
mid = (lo + hi) / 2
⚠ Integer overflow when lo + hi > 2³¹

AI guides, doesn't dictate.

Try tracing the values of lo, hi, mid for the last 3 iterations. Want a Socratic walkthrough or the patch?

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Code the future of higher learning.