​CUBE 2026

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

​CUBE 2026 is a production-oriented AI engineering challenge by Sydon.AI, in collaboration with CodeQuesters, built for engineering students, recent graduates, freshers, and early-career developers who want to go beyond AI demos and experience how real agentic systems are engineered.

​CUBE stands for Collaborate · Uplift · Build · Earn - the four principles at the heart of the experience. Across multiple rounds, participants will build, integrate, and defend AI agentic solutions based on real-world problem statements.

​Event at a Glance

​💰 ₹50,000 Total Prize Pool
🥇 Winner - ₹25,000
🥈 1st Runner-Up - ₹15,000
🥉 2nd Runner-Up - ₹10,000
🚀 FDE Hiring Opportunities with Sydon.AI
📍 Hyderabad + Online
📅 18 September - 10 October 2026

​Who Can Participate?

​CUBE 2026 is open to:

• ​Engineering students

• ​Recent engineering graduates

• ​Freshers / early-career developers

​You don't need to be an AI expert. What matters is the ability to learn, build, experiment, and solve problems.

​What You'll Do

• ​Build an AI agentic solution based on a real-world problem statement

• ​Explore, experiment, test, and iterate on your solution

• ​Use AI tools such as ChatGPT, Claude, Gemini, Copilot, Cursor, and others to accelerate development

• ​Collaborate with unknown participants in the later stage

• ​Integrate independently built agents into one connected solution

• ​Explain and defend the architecture, decisions, and final system

​Challenge & Problem Statements

​On 18 September 2026, during the CUBE Kickoff, participants will receive an overview of the challenge and the types of problem statements they can expect to work on, along with a brief introduction to the overall challenge.

​The detailed problem statements will be revealed on 24 September 2026. On the same day, the problem statement selection portal will go live, allowing participants to review the available challenges and select their preferred problem statement through the portal.

​The selected problem statement will define the problem, requirements, constraints, inputs, expected outcomes, and other elements needed to build the solution.

​How CUBE Works

​Round 1 - Screening
All registrations will go through a screening process based on the GitHub, LinkedIn, resume, technical background, and other information provided during registration. Based on this screening, selected participants will advance to Round 2 - Build.

​Around 100 selected participants will also receive an exclusive invitation to attend the offline CUBE 2026 experience in Hyderabad, while the remaining selected participants will be able to join the Kickoff online via a live meeting.

​Round 2 - Build
Participants individually build an AI agentic solution based on the selected challenge and problem statement.

​Round 3 - Integrate
Selected finalists are grouped into Pods (Teams) with other participants. Each participant brings their independently built solution, and the team works together to integrate them into one connected system.

​Grand Finale - Defend
Final teams showcase their system and defend their engineering decisions, architecture, implementation, and overall solution.

​Timeline

​16 September 2026 - Registration Deadline
18 September 2026 - Kickoff + Challenge Overview
24 September 2026 - Problem Statement Reveal + Selection Portal Goes Live
25–26 September 2026 - Round 2: Build Sprint
27 September 2026 - Round 2 Submission Deadline
3 October 2026 - Round 3 Finalists Announcement
7–9 October 2026 - Round 3: Integration
10 October 2026 - Grand Finale

​Detailed handbooks, guidelines, challenge instructions, and stage-specific information will be shared with selected participants as they progress through CUBE.

​Why Join CUBE?

• ​Explore potential FDE hiring opportunities with Sydon.AI

• ​Work on real-world AI engineering problems

• ​Build something that demonstrates your technical ability

• ​Experience working with unknown teammates and independent AI systems

• ​Learn how individual agents can become one unified system

• ​Get recognized for strong engineering and problem-solving

​AI can accelerate the work. Engineering judgment stays yours.

​Sydon.AI builds agentic AI systems for e-commerce and intelligent commerce, helping businesses make better decisions across areas such as product discovery, pricing, advertising, listings, inventory, customer intelligence, and account health.

​DON’T JUST BUILD AI. ENGINEER IT.