Breezy

Breezy makes production easy!

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Inspiration: IT support teams drown in tickets. Every day, engineers manually handle hundreds of repetitive issues such as password resets, access changes, broken deployments which are organized into tiers: L1 (simple, high-volume fixes), L2 (code-level or config failures needing diagnosis), and L3 (deep engineering escalation). Most teams waste hours on L1/L2 work that should never reach a human.

About our Product: Breezy is an autonomous IT agent that resolves support tickets before anyone is paged. It monitors logs and configuration in real time, classifies incidents automatically, and routes them to the right action path.

L1 issues - account ops, access changes - are executed instantly via an automated tool library. L2 issues enter a sandbox repair loop: Breezy reads the code, proposes a fix, tests it in isolation, and promotes only if all tests pass. Failed attempts trigger a different repair strategy; exhausted attempts escalate with a structured incident report and full attempt history, protecting production from premature or vulnerable changes. Every action is logged for complete auditability.

What we are proud of: The repair loop works end to end Breezy reads broken code, writes a fix, tests it, and either ships it or tries again autonomously. Watching a ticket go from detection to resolution with zero human involvement, in seconds

How we built it: TypeScript on Node.js with LangChain and OpenAI powering the agent reasoning, Zod for tool schema validation, and a Next.js 14 + React 18 frontend. A lightweight SSE-based demo server streams real-time incident events.

Honest limitation/Challenges we faced: The current sandbox where Breezy tests fixes is just a local file copy- not a fully isolated environment. This means a bad fix could theoretically still affect the wider system. We're working on proper containerized testing environments to fully close that gap.

One Thing we are proud of: The repair loop works end to end Breezy reads broken code, writes a fix, tests it, and either ships it or tries again autonomously. Watching a ticket go from detection to resolution with zero human involvement, in seconds.

The global IT automation market is growing from $8.2B in 2025 to $40B+ by 2031- nearly 31% CAGR. Breezy has the potential to target the millions of SMBs that can't afford enterprise IT headcount, turning thousands of daily tickets into instant, logged resolutions with measurable ROI from day one.

Breezy makes production easy!

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