Proposal Name
LogiQ
Problem Statement
Developers building dApps on Hyperion often face frustrating transaction failures caused by cryptic EVM errors, confusing logs, and unclear revert messages. Debugging these failures—especially in a parallel EVM execution environment like Hyperion’s—requires deep stack knowledge, slowing down iteration and raising the barrier to entry for newer developers. Currently, there is no simple, intuitive tool for developers to interpret these errors and receive actionable guidance within the Hyperion ecosystem.
Solution Overview
LogiQ is an AI-powered debugging assistant designed to help developers quickly understand and resolve failed transactions on Hyperion.
By integrating with Alith, Hyperion’s onchain AI agent capable of interpreting runtime data, LogiQ provides natural language explanations, highlights failure points, and recommends code or deployment fixes. Developers simply paste logs, JSON traces, or error messages into a minimalist web or CLI interface and receive clear, human-readable diagnostics and suggestions.
This reduces the cognitive overhead of debugging, speeds up development, and improves developer onboarding and productivity.
Project Description
LogiQ acts as a bridge between complex blockchain logs and AI-powered insights. Here’s how it works:
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Developers paste in failed transaction logs, revert messages, or JSON traces into the LogiQ interface.
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The system formats and analyzes the input.
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It sends the parsed data to Alith, which interprets the error context using Hyperion’s parallel EVM runtime data.
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Alith responds with:
- A natural language explanation of the issue
- Suggested causes and likely fixes
- Relevant line-by-line annotations (if applicable)
Developers receive this feedback instantly through the interface, allowing them to take direct action.
Tech Stack
| Component | Tool |
|---|---|
| Frontend | React or plain HTML/JS for speed and simplicity |
| Backend | Node.js or serverless functions for parsing and routing |
| AI Integration | Hyperion’s Alith SDK, prompt-engineered for EVM debugging |
| Storage (Optional) | GitHub for community error log repo |
| Gamification Layer | Lightweight XP tracker, optional NFT integration, simple DB |
Testable Features & Tasks
| Task | XP Earned |
|---|---|
| Paste and analyze a failed transaction log | +10 XP |
| Submit a follow-up question to Alith | +5 XP |
| Rate the quality of the AI’s explanation | +3 XP |
| Share a useful error log + fix to the community repo | +10 XP |
| Refer another developer to use LogiQ | +5 XP |
The community repo will store anonymized error logs and successful fixes, helping Alith learn and improving developer onboarding. Submissions will be reviewed for quality before listing.
Gamification System
- XP-based Leveling (e.g., Level 1 = 10 XP, Level 2 = 30 XP…)
- Leaderboard to recognize top bug-hunters and contributors
- Exclusive NFT Badges for early testers and high performers
- Redeemable Rewards like premium features or swag
This system encourages repeated use and community contribution while improving the AI assistant’s long-term performance.
Impact on the Hyperion Ecosystem
LogiQ directly addresses one of the most painful developer experiences: debugging.
It enhances the usability of Hyperion’s native tooling (Alith) and makes smart contract building more accessible. By lowering the entry barrier for newer developers, it expands the developer base and helps the ecosystem grow.
The gamified features also incentivize real-world testing, knowledge-sharing, and data collection to continuously improve both LogiQ and Alith.
Future Roadmap
- Real-time browser extension for dApp logs
- VS Code plugin for inline EVM error hints
- CI/CD hooks that stop faulty contracts pre-deploy
- Open-source knowledge base of resolved log cases
