
Hacker
Raj Tiwari
@rajtiwari
Elsewhere
Stack
- TypeScript
- Python
- C
- C++
- Java
- JavaScript
Projects
- Logitech MX Master 3
FlowForge AI — Autonomous Site Reliability incident responder
The Zerops ChallengeAug 2026
FlowForge AI is an autonomous, production-grade Site Reliability Engineering (SRE) incident triaging and diagnostic platform. Instead of developers wasting hours parsing log stacks and checking database connection limits during critical outages, FlowForge AI serves as an active, on-call virtual SRE that reduces Mean Time To Resolution (MTTR) from hours to under 2 seconds. Core Features: 1. Telemetry Incident Simulator: Inject real-time PostgreSQL connection slot exhaustions, Valkey memory leaks, or CORS Gateway handshake timeouts. 2. AI Multi-Agent Storytelling Pipeline: Visualizes a collaborative graph of 4 specialized agents (Observation, Diagnosis, Resolution, and Infrastructure) executing live diagnostics. 3.Codebase Remediation Patches: Generates exact code patch blocks (TS / Config) to fix the isolated codebase bugs. 4.Zerops Infrastructure Advisor: Generates horizontal/vertical autoscaling configurations and rationales mapped to the service topology. 5. SRE Dave Interactive Chat: A persistent SSE-powered chatbot to query follow-up diagnostics. 6. Live Topology Map: Visualizes network packet flows running across services. How it uses Zerops: The monorepo deploys 5 isolated microservice containers (React static client, Fastify API, BullMQ worker, Valkey queue, and PostgreSQL) orchestrated entirely on Zerops PaaS. We utilize Zerops' private WireGuard mesh network to block database access from public internet ports, dynamic env references to automate database bindings, and static L7 load balancing to route traffic seamlessly.