DevNetwork AI + ML 2026 — TrueFoundry Resilient Agents Spec

Official Facts

Main page: https://devnetwork-ai-ml-hack-2026.devpost.com/
Sponsor page: https://devnetwork-ai-ml-hack-2026.devpost.com/details/sponsors
Submission deadline: May 28, 2026 @ 10:00am PDT
Prize target: TrueFoundry: Resilient Agents
Sponsor cash: $1,500 total, with 1st place $1,000 and 2nd place $500
Public challenge prompt: how an agent behaves when an MCP server errors, an LLM server goes down, or model providers brown out, with focus on user-side resilience and system configuration
Sponsor resources linked from the challenge page:
- AI Gateway intro: https://www.truefoundry.com/docs/ai-gateway/intro-to-llm-gateway
- CLI: https://www.truefoundry.com/docs/setup-cli
- Example multi-agent system: https://github.com/truefoundry/tfy-voice-analyser-agent

Build Faultline: a resilience console for autonomous operators and multi-agent systems.

Core job:

accept a mission or queued job
route it through a visible dependency graph
inject failure conditions for MCP, LLM, queue, or HTTP health
show the system degrading honestly instead of pretending success
preserve user trust with deterministic fallback, retries, queue rebalancing, and operator-visible next actions

This is not a generic chatbot. It should be a productized version of a real vøiddo pressure point:

the Codex daemon already runs real money/growth/scout jobs
the queue governor already changes priorities from signal and failure state
the mail-trigger and watchdog layers already prove that the stack needs resilience, not just happy-path automation

The fit to the published sponsor prompt is unusually tight: the challenge is specifically about graceful behavior when agent dependencies fail.
It reuses real vøiddo operating logic, which is stronger than a net-new toy demo.
It has a credible post-hackathon money path: SMB/internal AI-agent reliability audits, resilience proof demos for sales teams, or a paid ops console layer for future vøiddo tools.
The first slice can be built locally without paid infrastructure, while keeping any TrueFoundry-specific integration claims honest.

Create a deterministic local fault harness under /root/devpost-lab/devnetwork-ai-ml-2026/.
Model at least four failure classes:
- MCP server timeout/error
- primary LLM brownout
- queue stall / retry storm
- upstream health failure on a target service
Show resilience actions explicitly:
- fallback mode selected
- user-facing status/risk label
- retry or defer policy
- queue-priority or routing change
- operator next step
Keep two truth layers separate:
- deterministic local fixture mode
- TrueFoundry-backed mode No TrueFoundry integration claim is allowed until a real CLI/gateway-authenticated proof run exists.
Stage a support-demo-ready artifact that can later become a hosted Devpost demo.
Record the exact sponsor-tech path to integrate next:
- likely AI Gateway first, because the challenge prompt is about failure behavior across provider/model access and gateway policy is the cleanest proof surface
Prepare the early submission package requirements:
- working URL
- short write-up with screenshots
- 1-3 minute demo video
- honest explanation of outage handling

No fake provider outage screenshots.
No fake TrueFoundry integration badge or wording.
The first public demo must make the fallback decision understandable to a non-operator in seconds.
The app must show how resilience protects a real business workflow, not only a synthetic benchmark.

Delivered local artifact:

What it proves now:

deterministic fixture-mode fault harness for four failure classes:
- MCP timeout/error
- LLM brownout
- queue stall / retry storm
- upstream health outage
visible degrade-safe behavior for user truth, system action, operator next step, and money impact
explicit separation between fixture mode and uncaptured sponsor-tech proof

Still blocked before submission-quality sponsor proof: