If you can't observe your AI agents, you don't own them. Instrument real systems with SigNoz, the OpenTelemetry-native observability platform, and make AI infrastructure fully debuggable.
See Inside Everything You Ship
Your mission in this hackathon is to build agent-native observability workflows, SRE copilots, and AI/LLM observability dashboards powered by SigNoz. It's not about how fast you code, it's about how deep you can see.
The Bounty
$10,000 in prizes. Complete the mission, collect the reward.
Grand Prizes for All Team Members
One prize per track · maximum team size of 4 · every member of a winning team gets the device
Apple MacBook
One per team member, or the equivalent cash amount, for the best AI & agent observability build on SigNoz
Apple iPad
One per team member, or the equivalent cash amount, for the best OpenTelemetry instrumentation & dashboard build
Apple iPhone 17
One per team member, or the equivalent cash amount, for the best build-anything project powered by SigNoz
Top winners get job interviews at SigNoz
Showcase your skills directly to the team building the open-source observability platform. (Interviews do not guarantee a job, see the rules.)
Side Track · Best Blogs
Write about your build, your journey, or how SigNoz gives your systems total observability. The best blogs win a Keychron mechanical keyboard worth $120.
Side Track · Social Buzz
Share your progress on socials and tag @wemakedevs and SigNoz. The top 10 social media posts get exclusive swag shipped to them.
Your AI Agents Are a Black Box
AI is eating software, and nobody can see inside it. We're here to fix that.
Flying Blind
AI agents are chaining LLM calls, invoking tools, hitting vector DBs, and making decisions autonomously. But when latency spikes, costs explode, or an agent hallucinates in production, you're flying blind. You can't debug what you can't see.
Total Visibility
SigNoz gives you full visibility into every AI workflow. Trace each agent step, monitor token costs, and correlate LLM responses with downstream failures. OpenTelemetry-native, so your instrumentation works everywhere. One platform. Every AI signal.
One platform. Every AI signal. Total observability. 🔍
Powered By SigNoz
SigNoz is the one-stop open observability platform built for the AI era. Instrument your agents, LLMs, and the tools they call to see traces, metrics, logs, and token cost in one place. Then point your coding agent at MCP, and your agents debug with the same data. Open source, built on OpenTelemetry, the standard your agents already speak, with no proprietary agents or lock-in.
Self-host SigNoz, free and open source
Run SigNoz yourself with Docker or Kubernetes and start ingesting telemetry in minutes. See the self-host install guide.
Don't build it alone
SigNoz is OpenTelemetry-native, with integrations for cloud providers (AWS, GCP, Azure), databases, message queues, web frameworks, and more. Browse the full integrations list to find yours and ship instrumented systems faster.
One Stop Observability Platform. Total Recall.
SigNoz helps you observe every signal your systems and agents emit, such as traces, metrics, logs, and token costs, on one open platform.
Trace every step of your AI agent: tool calls, LLM requests, retrieval hops, and decision chains in one view.
Traces, metrics, and logs in a single platform. Correlate signals across your entire stack without switching tools.
Self-host SigNoz on your own infrastructure for full control, or use SigNoz Cloud to get started in minutes.
Built on OpenTelemetry from day one. Instrument any language, any framework. Your telemetry data stays yours forever.
Pick Your Mission
Three tracks, one platform. Choose the track that fits your skills, or bring your own idea. Every project must use or integrate with SigNoz. The example builds below are inspiration only, not requirements.
AI & Agent Observability
Trace, monitor, and debug AI-native systems
Signals & Dashboards
OpenTelemetry instrumentation & Query Builder mastery
Build Your Own
Observe anything with SigNoz
Judging Criteria
Potential Impact
How effectively does the project address a meaningful problem or unlock a valuable use case with observability?
Creativity & Innovation
How unique is the idea? Does it push the boundaries of what's possible when you can see inside your systems?
Technical Excellence
How well is the project implemented? Does it demonstrate strong engineering practices and clean, maintainable code?
Best Use of SigNoz
How deeply and effectively does the project lean on SigNoz, traces, metrics, logs, dashboards, and alerts?
User Experience
Is the project intuitive to use? Does it provide a polished experience that users would actually want to adopt?
Presentation Quality
How clearly is the project presented? Do the demo, README, and submission communicate the problem, solution, and impact?
Frequently Asked Questions
Still have questions? Join the SigNoz Slack and get help in real time.
Join SigNoz Slack