
Qubic Quest is a cutting-edge, AI-powered blockchain explorer designed specifically for the Qubic network. By combining the power of natural language processing with comprehensive on-chain data, Quest transforms the way users interact with blockchain information—making complex blockchain analytics accessible to everyone, from developers to investors to curious enthusiasts. The Problem We Solve Traditional blockchain explorers require users to understand technical concepts, navigate complex interfaces, and manually piece together information from multiple sources. SQL queries, RPC endpoints, and smart contract interactions create barriers that prevent many users from accessing valuable blockchain insights. Quest eliminates these barriers by allowing users to simply ask questions in plain English and receive comprehensive, beautifully visualized answers instantly.
7 Dec 2025

A production-ready multi-agent AI system built on IBM watsonx Orchestrate that revolutionizes software development workflows through intelligent automation. Powered by Meta Llama 3.2 90B Vision Instruct, five expert agents collaborate to handle code quality, security, implementation, financial analysis, and task coordination across the development lifecycle. The Master Orchestrator coordinates all agents, analyzing requests, routing tasks, and synthesizing multi-agent results. The Code Architect analyzes requirements and delegates implementation to GitHub Copilot, using 30+ tools for code analysis and coordination. The Code Reviewer enforces KISS/DRY/SOLID principles, identifying bugs and maintainability issues with structured feedback. The Sentinel Security Agent scans for SQL injection, authentication vulnerabilities, and OWASP Top 10 issues while monitoring Vercel deployments. The CFO evaluates business impact, calculating development costs, user retention effects, and ROI projections using embedded financial models. The system achieves 87% token optimization (reducing PR analysis from 6000+ to 800 tokens) and integrates 70+ external tools via Model Context Protocol: GitHub Copilot (40 tools), Vercel (10 tools), Supabase (20 tools), and Slack. All agents automatically post structured feedback to GitHub PRs with cloud-ready authentication. Teams can request comprehensive PR reviews with synthesized findings, implement features via Copilot delegation, run security audits with coordinated fixes, and analyze costs at scale. This provides development teams with 24/7 AI experts accessible through conversational interfaces and automated GitHub workflows.
23 Nov 2025