# ResolvAI

- **Event:** [Global Codex Hackathon: [Singapore]](https://cerebralvalley.ai/e/open-ai-hackathon-singapore-virtual)
- **When:** Tue, Apr 21 at 9:00 AM – 9:00 PM (GMT+8)
- **Where:** Online
- **Team:** [Nivedita Kumar](https://cerebralvalley.ai/u/nivk), [Arushi Tejpal](https://cerebralvalley.ai/u/rushi_T)
- **Demo video:** https://drive.google.com/file/d/1aLre_bMaWH46CQOWUi2jpQSUJ-DP3hTo/view?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/open-ai-hackathon-singapore-virtual/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/open-ai-hackathon-singapore-virtual/hackathon/gallery/17

Project Description

This project is a self-healing production system powered by Codex that automates the full lifecycle of incident resolution. Instead of relying on engineers to manually investigate and fix failures, the system connects existing signals—logs, stack traces, code, and tests—into an intelligent workflow that can detect issues, diagnose root causes, and generate fixes automatically.

It introduces a structured, human-in-the-loop approach where incidents trigger automated analysis, and engineers step in only for validation and control. The result is a faster, more reliable, and scalable way to handle production failures, reducing downtime and operational cost.

Key Features
1. Automated Incident Detection & Triggering
Production failures automatically generate structured incident artifacts (logs, stack traces, context).
A watcher system detects these incidents and triggers the resolution workflow instantly.
2. AI-Powered Root Cause Diagnosis
Uses Codex with an incident-diagnoser skill to:
Analyze logs and stack traces
Inspect the codebase
Identify the root cause
Produces a diagnosis report without modifying code.
3. Human-in-the-Loop Checkpoint
Engineers review the diagnosis before any changes are made.
Ensures control, trust, and safety in automated workflows.
4. Guided Automated Remediation
Codex uses an incident-remediator skill to:
Fix the bug
Add regression tests
Create a branch and commit changes
Engineers can refine or guide the process through the IDE.
5. End-to-End Workflow Orchestration
Covers the full lifecycle:
Detection → Diagnosis → Review → Fix → Delivery
Moves beyond code generation to process automation.
6. Extensible Delivery Pipeline
Supports future integration with:
Automated pull request creation
CI/CD validation pipelines
Safe deployment gates
7. Scalable Multi-Service Architecture
Can expand beyond a single repo to:
Multiple services and repositories
A knowledge graph capturing dependencies and lineage
Enables ecosystem-wide issue resolution.
8. Real Business Impact
Faster incident resolution (minutes instead of hours)
Up to:
70% reduction in manual investigation
36% lower downtime-related losses
15–35% reduction in IT operations costs

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