GitLab AI Hackathon 2026: Meet the winners

Nearly 7,000 developers participated in GitLab’s 2026 AI Hackathon, creating more than 600 agents and workflows for the GitLab Duo Agent Platform. The winning projects focused on practical software delivery challenges—including organizational knowledge loss, security, compliance, migrations, and sustainability—rather than simple chatbot interactions. The results suggest that agentic AI is becoming most valuable when integrated directly into development workflows and given richer project context.

Hackathon Scope and Evaluation

• The hackathon ran from February 9 to March 25, 2026, on Devpost.
• Google Cloud and Anthropic co-sponsored the event, contributing judges, prizes, and cloud resources.
• Nineteen judges evaluated projects on:
  • Technical execution
  • Design
  • Potential impact
  • Quality of the idea
• Total prizes reached $65,000.

Grand Prize: LORE

• LORE, or Living Organizational Record Engine, addresses the loss of institutional knowledge when engineers leave.
• It combines:
  • Eight specialized agents
  • A router that directs questions to the appropriate agent
  • Protections against circular loops in its knowledge graph
  • A visual dashboard
  • Carbon tracking
• Its command-line tool includes 43 tests, leading judges to describe it as a polished product rather than a typical hackathon prototype.

Google Cloud and Anthropic Winners

• Gitdefender, the Google Cloud Grand Prize winner, detects security issues during code review, writes fixes, and opens the review automatically.
• Aegis, the Google Cloud Runner Up, explains the reasoning behind its AI decisions and is deployed on Google Cloud.
• GraphDev, the Anthropic Grand Prize winner, maps code relationships and shows how systems evolve, helping developers understand the impact of changes.
• DocSync, the Anthropic Runner Up, uses Detector, Writer, and Reviewer agents to update documentation. It opens a review when confident and creates an issue for human review when uncertain.

Category Winners

• Time-Traveler, winner for technical achievement, creates a safe copy of a production environment and runs database migrations against it using five connected agents, PostgreSQL, real data, and Google Cloud deployment.
• RedAgent, the most impactful project, verifies AI-generated security findings before developers act on them, addressing distrust in automated reports.
• Launch Control, recognized for ease of use, combined polished user experience, strong infrastructure, and sustainability considerations.

Sustainability-Focused Projects

• Five projects received sustainability prizes or bonuses as the organizers highlighted the growing energy cost of CI/CD systems and large language models.
• GreenPipe analyzes CI/CD pipelines and generates carbon-footprint reports.
• Sustainable Design bonuses recognized projects including:
  • BugFlow, which generated 10 fixes from one bug report in 20 minutes
  • DELTA Cyber Reasoning, an automated fuzz-testing tool
  • CarbonLint, which applies code analysis to energy consumption
  • TFGuardian, which includes carbon-footprint analysis
• One project reduced monthly costs from $556 to $18, representing a reported 96% carbon reduction.

Honorable Mentions

• SecurityMonkey tests security scanners by injecting known vulnerabilities.
• stregent enables CI/CD investigation and fixes through WhatsApp.
• Compliance Sentinel evaluates merge requests for compliance risk and blocks critical violations.
• Carbon Tracker measures the carbon footprint of individual pipeline jobs and suggests improvements.
• RepoWarden captures the rationale behind code, not only its behavior.
• MR Compliance Auditor maps merge-request evidence to SOC 2 controls and displays compliance scores in real time.

What Comes Next

The projects operated within a single GitLab project, but many teams supplemented their agents with local knowledge graphs to understand code relationships and dependencies. GitLab plans to build on this approach in future hackathons by providing agents with richer context.

GitLab’s hackathon demonstrates that the strongest AI agents are workflow-integrated tools that can investigate, make decisions, execute changes, and involve humans when needed. Developers can explore the 600-plus projects in the gallery or build their own agents on the GitLab Duo Agent Platform.