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Cerebral Hacks
SEASON 04 LIVE SPRINT

48 Hours. Automated Chaos. $15,000 in Prizes.

Deploy your distributed architecture into our shared Kubernetes evaluation cluster. Survive simulated node outages, DDoS fuzzing, and benchmark load in real time.

Real-Time Scoring Harness

Live Tournament Standings

Scored continuously by our automated chaos harness. Points refresh after each chaos round.

Season 04 — Active Sprint

Round 3 of 3 · 38 Active Squads

Live Scoring Active
RankTeam & ProjectPoints24h Delta
1
Distributed Chaos
Byzantine Fault Tolerant Raft Engine
2,840+180
2
Kernel Panic Squad
eBPF Zero-Trust Layer 7 Proxy
2,715+230
3
ByteForge Security
Automated Secret Injection Mesh
2,690+45
#4
Stack Overflowers
High-Throughput Vector Ingestion Engine
2,410+110
#5
Async Awaiters
Event Sourced Ledger with Snapshotting
2,380+20
#6
Vector Vault
Distributed Approximate Nearest Neighbor
2,190+95
#7
NullPointer Inc
Resilient WebSocket Pub/Sub Broker
2,050-15
#8
Rustaceans United
Zero-Allocation Stream Decompressor
1,980+60
Not another tutorial.

A place to build.

Build Labs are focused sessions designed around practical engineering problems. You’ll work through the problem, make architectural decisions, write the code, debug what breaks, and turn your idea into something that works.

Learn by doing.·Build with others.·Ship something useful.
The 4-Stage Sprint

How it works

01 — PICK

Start with a practical engineering challenge.

Understand the problem, constraints, and what you're trying to build.

02 — BUILD

Break the problem down and start building.

Design the architecture, choose your approach, write the code, and iterate.

03 — SHIP

Move beyond a working demo.

Test your solution, fix what breaks, and get it into a usable state.

04 — SHARE

Show what you built.

Demo your work, explain your decisions, and learn from how others solved the same problem.

Disciplines & Focus Areas

What we build

AI & LLMs

Build intelligent applications that actually work.

Work through generative AI workflows, multi-agent coordination, and automated reasoning pipelines.

Agents · RAG · LLM Applications · AI Workflows

Backend & Systems

Solve problems that require more than a simple API.

Design fault-tolerant APIs, distributed databases, transactional caches, and consensus engines.

APIs · Databases · System Design · Distributed Systems

Cloud & Infrastructure

Learn what it takes to run software beyond your laptop.

Configure container runtimes, Kubernetes operators, automated CI/CD deployments, and telemetry.

Docker · Cloud · CI/CD · Observability

Developer Tools

Build tools that solve problems for other builders.

Build developer toolchains, CLI dashboards, code instrumentation tools, and automated lint bots.

Automation · APIs · Developer Workflows · Internal Tools
Tangible Outcomes

Something you actually built.

Every Build Lab is designed to give you a tangible outcome.

A working project

Build something you can run, test, and continue developing.

Engineering experience

Practice making real technical and architectural decisions.

Something to show

Turn your work into a project, demo, repository, or portfolio piece.

People to build with

Meet other developers who are solving problems and learning by doing.

Cadence & Sprints

Inside a Build Lab

One problem. One session. One thing worth shipping.

PHASE 1

The Problem

Understand what we're solving and why it matters.

PHASE 2

The Architecture

Break the problem down and decide how you're going to build it.

PHASE 3

The Implementation

Write the code, test your approach, and work through the hard parts.

PHASE 4

The Demo

Show what you built and learn from other solutions.

EXAMPLE BUILD WALKTHROUGH

Build a RAG system that knows when it doesn't know.

Build a document-based question-answering system that retrieves relevant information, generates grounded responses, and provides verifiable sources.

You'll work with

PythonLLMsEmbeddingsVector SearchRAGEvaluation

You'll learn

How to structure documents for retrieval
How to improve retrieval quality
How to reduce unsupported answers
How to evaluate an AI system
How to turn a prototype into a usable application
Final Outcome
A working RAG application with retrieval, generation, and evaluation — built by you.
Target Builders

Who it's for

Students

Go beyond tutorials and build projects that demonstrate how you think.

Developers

Explore new technologies by solving problems instead of following step-by-step courses.

Founders

Turn an idea into a working technical prototype.

Engineers

Experiment with architectures, tools, and approaches outside your day-to-day work.

The Build Lab mindset

Don't just learn the technology. Learn how to use it.

We care less about how many tutorials you've completed and more about what you can build with what you know.

UnderstandExperimentBuildBreakFixShip
Free Registration

Register Your Squad

Teams of 1 to 4 engineers. Free sandboxes and evaluation cluster quotas provisioned automatically.

Frequently Asked Questions

Rules & Evaluation Guidelines

Hall of Fame

Past Season Champions

Explore past hackathons, champion squads, and the architectures they proved under pressure.

Season 03 · April 2026

Spring Cloud Clash 2026

Champion: Kernel Panic Squad

Built multi-region failover database engines with sub-second replication lag.

Season 02 · December 2025

Winter Cyber Siege 2025

Champion: ByteForge Security

Defended live infrastructure against red team automated attack swarms.

Season 01 · September 2025

Autumn Build Sprint 2025

Champion: Distributed Chaos

Constructed high-speed financial order matching engines in under 48 hours.