Kyle Stewart@kylestew3510656
6
Events attended
1
Submissions made
United States
5+ years of experience
About me
I’m Kyle Stewart, a full-stack and AI engineer specializing in autonomous systems, AI orchestration, Python, FastAPI, Next.js, React, TypeScript, and AWS serverless architecture. I build practical AI products that combine agent workflows, real-time data ingestion, automation, and human-friendly interfaces. My flagship project is Yotta Studio, an AI-powered creative and project-workflow platform designed to help users turn ideas into organized, production-ready work. I’ve also built accident-intelligence and geomarketing systems, AI productivity tools, financial intelligence agents, document and email analysis tools, gaming assistants, health applications, and truth-validation prototypes. My experience includes leading a team that built seven AI applications in seven weeks, engineering real-time data pipelines for GoMAXPAIN, launching websites and web applications for small businesses, and designing a multi-agent project-management system on AWS. I bring both strong technical execution and over a decade of leadership, operations, and business experience.
🤓 Latest Submissions
Bob-Powered Code Review Assistant
CodePilot Review Assistant is a developer‑workflow improvement tool built for the IBM Bob 2.0 Hackathon. It enhances the code review process by using Bob’s full repository context, agent mode, parallel tasks, and document understanding to analyze real projects and produce actionable insights. The system runs multiple Bob subagents in parallel—static analysis, change impact, documentation alignment, and test coverage mapping. Their outputs are combined into a single, easy‑to‑read review report that highlights issues, explains root causes, suggests fixes, and recommends missing tests. This significantly reduces the time and effort required for manual code review while improving consistency and accuracy. The prototype demonstrates a complete workflow: loading a real repository, running Bob’s multi‑agent analysis, and generating structured artifacts such as review_report.md, review_findings.json, and an improvement plan. The result is a practical, developer‑focused tool that shows how Bob 2.0 can meaningfully improve everyday engineering tasks.
27 Sep 2026
