CUBE 2026: Learn how real AI teams work

CUBE 2026 Collaborate • Uplift • Build • Earn

CUBE 2026

The AI hackathon for intelligent commerce

Total cash prize pool

₹50,000/-

Fifty thousand rupees only

Plus public recognition and a genuine career conversation with Sydon.AI

10 October 2026Saturday

Virtual / GlobalOnline event

Winning AI podCash + recognition

What is CUBE? Four letters. One engineering culture.

CUBE is not a weekend hackathon with a demo at the end. It is a four-week AI engineering program built around how production teams actually operate: you own a component, you depend on other people’s code, and you answer for the decisions you made.

01 / 04 · C

Collaborate

Work beyond your own code. Understand ownership, dependencies, handoffs, interfaces, and how your work connects to everything around it.

Ownership · Coordination · Communication · Systems Thinking

Where it shows up: Round 3: Integrate · 7–9 OctoberTwenty pods of five, one specialist per domain. Every agent must consume something another agent produces.
What the panel looks for: Whether your interface still holds when four other people build against it.
What that looks like: A published contract for your agent (inputs, outputs, failure modes) that a pod-mate can build against without asking you.

02 / 04 · U

Uplift

Make knowledge move. Share what you know. Learn what you don’t. Teach, mentor, document, and grow through the people around you.

Knowledge Sharing · Mentorship · Learning · Leadership

Where it shows up: Every round · kickoff to finaleYour work is read by practising engineers throughout, and a pod carries each other through integration week.
What the panel looks for: Whether the people around you got better for having worked with you.
What that looks like: A README a stranger can follow, and a review comment that changed how someone else built their agent.

03 / 04 · B

Build

Demos end. Systems don’t. Engineer autonomous systems that run, integrate, handle failure, evolve, and can actually be maintained.

Execution · Reliability · Architecture · Production Thinking

Where it shows up: Round 2: Build · 25–26 SeptemberOne participant, one agent, one domain, inside a starter repository that already runs. Merged, or it did not happen.
What the panel looks for: Whether it still runs once the happy path ends.
What that looks like: An agent that survives a malformed input, a timeout and an empty result with nobody watching it.

04 / 04 · E

Earn

Proof over promises. Build a record of demonstrated engineering, not a participation badge. Earn Sydon recognition through the work you actually deliver.

Credibility · Recognition · Achievement · Career Signal

Where it shows up: Grand Finale: Defend · 10 OctoberThe system runs live in front of the judges, then you defend it. The panel scores the system and the individual.
What the panel looks for: Whether you can explain every decision you shipped, including the ones that failed.
What that looks like: A repository, an architecture you can draw from memory, and a defence you have already survived.

All four letters, round by round

Why it’s different

Most hackathons end at the demo. CUBE starts there.

Move beyond brittle scripted slide decks. Build autonomous resilient architectures calibrated for actual production constraints.

Foundational criteria

The 7 pillars of CUBE engineering

Every team and codebase is benchmarked against commercial delivery standards.

01 Autonomous

AI Agent Engineering

Design agents that reason, call tools, consume real data and produce decisions a business could act on.

02 Analysis

Problem Solving

Translate a messy commercial scenario into a technical approach, and justify the trade-offs you made.

03 Architecture

System Integration

Make independent components work as one product across contracts, interfaces and dependencies.

04 Workflow

Modern Practice

Structured codebases, APIs, Git, pull requests, review and CI: the workflow real teams run on.

05 Resilience

Reliability

Design past the happy path: upstream failures, bad data, latency, and behaviour under stress.

06 Scale

Production Thinking

Move from “it works on my machine” to “it holds up when something else breaks.”

Foundational mindset

Technical Ownership

Understand, explain and defend every engineering decision in the work carrying your name. No black-box generation without rationale.

Non-negotiable

₹50,000 prize pool

Your agent was never meant to work alone

Event at a glance

The shape of the programme

Online and offline. The kickoff runs in Hyderabad with hybrid access; every build round runs online.

1,000+

Expected registrations

Across colleges, startups and industry
~500

Selected participants

Shortlisted on evidence, not on essays
100

Round 3 finalists

The top individual builders
20

Pods of five

One specialist per challenge domain
5

Challenge domains

Real intelligent-commerce problems
₹50,000

Total cash prize pool

Awarded at the Grand Finale

AI agent engineering. Reasoning loops, tool use, grounding and evaluation: the parts that decide whether an agent is useful or just fluent.

Modern software engineering: version control, code review, testing and the working habits that hold up outside a hackathon weekend.

System integration: how an independent capability becomes a dependable part of a larger product.

Collaboration: five specialists, one system, real cross-agent dependencies and the negotiation that comes with them.

Reliability and production thinking: failure modes, edge cases, security and observable behaviour under real conditions.

Technical communication: explaining architecture, decisions and trade-offs to people who will challenge them.

Prizes & opportunities

What winning is worth

The cash is the headline. It is not the reason most people finish.

₹50,000

Total cash prize pool

Awarded at the Grand Finale on 10 October 2026.
Career

A conversation with Sydon.AI

Exceptional participants continue the conversation with our engineering team. Hiring is an outcome of demonstrated ability across the whole programme, never a guarantee, and never decided by the final demo alone.
Exposure

Industry visibility and recognition

Your work is reviewed by practising engineers, and finalists are recognised publicly by Sydon.AI and CodeQuesters.
Community

A network that outlasts the event

Five hundred builders, twenty pods and the people who ship intelligent commerce for a living.

Certification

You will be certified as

01

CUBE Participant

Entry-level verified credential for shortlisted candidates.
02

CUBE Builder

Functional prototype submission passing automated CI/CD checks.
03

CUBE Finalist

Selected among 100 finalists from 1,000+ applicants.
04 Advanced

CUBE Systems Engineer

Built and integrated multi-agent AI systems through a production-oriented engineering workflow.

The full breakdown: cash, career, recognition and the fine print

16 September 2026

Round 1

The people behind the programme

Collaboration Partner

CodeQuesters

Brings the builders, runs the kickoff, and forms the pods.

Community Partner

React Hyderabad

Brings the local developer community into the room.

Platform Partner

GOOVO AI

Provides the platform behind the programme.

Learn how real AI teams work. By working like one.

CUBE 2026

What is CUBE? Four letters. One engineering culture.

Collaborate

The 7 pillars of CUBE engineering

AI Agent Engineering

Problem Solving

System Integration

Modern Practice

Reliability

Production Thinking

Technical Ownership

₹50,000 prize pool

Your agent was never meant to work alone

The shape of the programme

Expected registrations

Selected participants

Round 3 finalists

Pods of five

Challenge domains

Total cash prize pool

Five specialists. One system.

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What you actually walk away with

What winning is worth

Total cash prize pool

A conversation with Sydon.AI

Industry visibility and recognition

A network that outlasts the event

You will be certified as

CUBE Participant

CUBE Builder

CUBE Finalist

CUBE Systems Engineer

Every date that matters

Registration deadline: 16 September 2026

Kickoff: 18 September 2026

Problem statements released: 24 September 2026

The people behind the programme

CodeQuesters

React Hyderabad

GOOVO AI

Questions, answered.

Applications are reviewed on evidence: your GitHub, your projects, and what you’ve actually shipped.

Ready to build like a real AI team?