Agents of SigNoz
$20,000in prizes + job interviews at SigNoz

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.

Agents of SigNoz
⬢ The Mission

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

$20,000 in prizes. Complete the mission, collect the reward.

🕶️Every member of a winning team receives the full prize!
Early Win · Pre-Event Blog Prize

Warm up before you build

Get an early win before the project sprint begins. Self-host SigNoz, wire it up as your observability backend, send data, and explore what it can do, traces, metrics, logs, dashboards, and alerts. Then write about the feature you like the most and submit your blog before July 19, 2026 to win your choice of AirPods Pro 3 or Beats Powerbeats Pro 2. It is the perfect way to get hands-on with SigNoz before you start building your actual project.

Publish your blog on a proper blogging platform, Medium, Dev.to, or Substack are all great choices. A LinkedIn social post is not a blog, so please don't submit one.

AirPods Pro 3 or Beats Powerbeats Pro 2
Winners announced July 19, 2026
Apple AirPods Pro 3Beats Powerbeats Pro 2

Get the Apple Air Ecosystem

One prize per track · maximum team size of 4 · every member of a winning team gets the device

Track 01 · AI & Agent Observability
Apple MacBook Air

MacBook Air

One per team member, or the equivalent cash amount, for the best AI & agent observability build on SigNoz

Track 02 · Signals & Dashboards
Apple iPad Air

iPad Air

One per team member, or the equivalent cash amount, for the best OpenTelemetry instrumentation & dashboard build

Track 03 · Build Your Own
Apple iPhone Air

iPhone Air

One per team member, or the equivalent cash amount, for the best build-anything project powered by SigNoz

Top blogs 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 · Social Buzz

Share your progress on socials and tag @wemakedevs and SigNoz. The top 10 social media posts get exclusive swag shipped to them.

Top 10 Posts → Exclusive Swag
Why we're doing this

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. 🔍

📡 One Platform, Every Signal

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.

AI Agent Tracing

Trace every step of your AI agent: tool calls, LLM requests, retrieval hops, and decision chains in one view.

One-Stop Observability

Traces, metrics, and logs in a single platform. Correlate signals across your entire stack without switching tools.

Flexible Deployment

Self-host SigNoz on your own infrastructure for full control, or use SigNoz to get started in minutes.

OpenTelemetry Native

Built on OpenTelemetry from day one. Instrument any language, any framework. Your telemetry data stays yours forever.

⬢ Three Tracks

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.

Submit your project through the form

For all three tracks, submit your project through the submission form. Everything you need to include is listed there. Not sure how to present your work? Read the blog guide first.

Submit Your Project

A kind note on the write-up: Publish your blog on a proper blogging platform, Medium, Dev.to, or Substack are all great choices. A LinkedIn social post is not a blog, so please don't submit one. Put genuine effort into it. AI slop and rushed, low-effort blogs will not win any prizes. We want to hear about your real experience, what you built, what broke, and what you learned along the way.

Track 01

AI & Agent Observability

Trace, monitor, and debug AI-native systems

Example builds
AI agents with E2E observability on SigNoz
Self-hosted inference observability (vLLM)
SRE Sidekick with SigNoz MCP
n8n workflows with E2E observability
Self-healing infra with SigNoz metrics
Track 02

Signals & Dashboards

OpenTelemetry instrumentation & Query Builder mastery

Example builds
Custom OTel auto-instrumentation library
Cross-signal panel for one service
Query Builder vs PromQL/LogQL
Multi-cluster telemetry on one SigNoz
SLO/error-budget dashboard pack
Track 03

Build Your Own

Observe anything with SigNoz

Example builds
Observability for a Slack/Telegram bot or IoT fleet
Monitor a trading bot or data pipeline
Bridge an unsupported data source into SigNoz
Monitor anything weird with a live dashboard
Ecosystem plugin: Backstage, Terraform, or Helm chart
⚖️ How You're Judged

Judging Criteria

01

Potential Impact

How effectively does the project address a meaningful problem or unlock a valuable use case with observability?

02

Creativity & Innovation

How unique is the idea? Does it push the boundaries of what's possible when you can see inside your systems?

03

Technical Excellence

How well is the project implemented? Does it demonstrate strong engineering practices and clean, maintainable code?

04

Best Use of SigNoz

How deeply and effectively does the project lean on SigNoz, traces, metrics, logs, dashboards, and alerts?

05

User Experience

Is the project intuitive to use? Does it provide a polished experience that users would actually want to adopt?

06

Presentation Quality

How clearly is the project presented? Do the demo, README, and submission communicate the problem, solution, and impact?

Frequently Asked Questions

Slack

Still have questions? Join the SigNoz Slack and get help in real time.

Slack Join SigNoz Slack

Disclaimer: “Agents of SigNoz” is an independent developer hackathon run by WeMakeDevs in partnership with SigNoz. The “Men in Black” aesthetic is used purely for fun and is not affiliated with, endorsed by, or associated with the “Men in Black” films, Sony Pictures, or any of their rights holders.