DebugPilot AI — AI-Powered Debugging Workflow

[Yashyr190]

DebugPilot AI

DebugPilot AI is an AI-powered debugging workflow designed to help developers triage runtime errors, deployment failures, API issues, and stack traces more efficiently.

Instead of generic conversational responses, the system focuses on structured engineering workflows including:

• severity classification
• subsystem detection
• root cause analysis
• debugging checklists
• prevention guidance
• confidence scoring

🚀 Live Demo

https://debugpilot-ai.vercel.app/

📂 GitHub Repository

https://github.com/Yashyr190/debugpilot-ai

🎥 Demo Video

https://drive.google.com/file/d/1B6vfclYXRypmdNDDFDD16DtDiTtuYRL2/view?usp=sharing

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Contribution Type

• Challenge Submission
• AgentKit Bundle
• Production Template
• SDK/Core Contribution

This PR is intended as a challenge showcase/workflow prototype rather than a production-ready AgentKit package.

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Project Focus

The project focuses on:

• AI-powered debugging workflows
• structured incident triage
• developer-focused UX
• operational debugging outputs
• practical AI workflow design

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Validation Notes

• Project tested locally and via deployed production build
• Live deployment verified on Vercel
• README documentation completed
• Demo walkthrough included
• No additional config.json or flows structure required for this showcase-style submission

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Tech Stack

• Next.js 14
• TypeScript
• Tailwind CSS

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Features

• AI-powered incident triage
• Structured debugging workflows
• Severity detection
• Likely subsystem identification
• Immediate next-step guidance
• Confidence scoring
• Modern developer-focused UI

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Future Improvements

• GitHub repository-aware debugging
• CI/CD log ingestion
• AI-generated PR fixes
• Multi-agent debugging workflows

[coderabbitai]

Walkthrough

This pull request adds a comprehensive README for the DebugPilot AI project. The documentation covers the problem statement, solution approach, core features, system architecture with LLM and fallback modes, tech stack, setup instructions, and future roadmap. No code changes are included.

Changes

DebugPilot AI Project Documentation

Layer / File(s)

Summary

Complete README with features, architecture, and setup guide submissions/debugpilot-ai

Documentation introduces DebugPilot AI as an AI-powered debugging assistant, explains the problem of unstructured incident workflows, and documents features including severity classification, subsystem identification, root cause analysis, checklists, and confidence scoring. Describes the Next.js architecture with optional LLM integration or local heuristic fallback, tech stack details, step-by-step setup instructions, optional OPENAI_API_KEY configuration, future improvements, project rationale, and MIT license.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 inconclusive)

Check name	Status	Explanation	Resolution
Description check	❓ Inconclusive	The PR description is non-standard for this repository template. It's a challenge submission rather than a kit/bundle/template following the repository's required structure.	Clarify whether this challenge submission should follow the standard PR template requirements, or if challenge submissions use a different validation process outside the documented checklist structure.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly describes the main change—a README addition for DebugPilot AI, an AI-powered debugging workflow project submission.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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[Yashyr190]

Hi maintainers

This PR was submitted for the agentkit-challenge.

I don’t appear to have permission to add labels from my side, so requesting the agentkit-challenge label to enable review automation.

Thank you!