AI-empowered software developer | Autonomous Agent Builder | Innovator in Developer Workflows

I’m a developer passionate about leveraging and building the next generation of AI agents and tools. I use LLM-powered agents (OpenAI, OpenCode) in daily workflows and actively explore autonomous agent frameworks (especially Agent Zero). I’m continuously improving my prompt engineering skills and exploring developer-augmenting AI patterns. I am currently learning ML model training and instruction-tuned LLMs, and am diving deep into Retrieval-Augmented Generation (RAG).

• Alexa Chatbot Encyclopedia Created an Alexa skill-powered home encyclopedia using OpenAI LLMs—enabling natural, conversational access to the world's knowledge.

• MCP Suite Building an MCP server platform for autonomous AI agent orchestration—making agent-powered workflows accessible across devices and services.

• GroundsControl.com — Designed and developed custom website for a commercial landscaping company.
• Angel.com — Developed and maintained the web platform for Angel Studios.
• Space Network Ground Segment Sustainment (SGSS) — Sustaining mission-critical satellite ground segment solutions for General Dynamics.
• Nextiva VoIP — Contributed to VoIP platform development.
• Credit Mobility — Lead developer on EdTech solutions for post K-12 institutions (ASU, OneOrigin).

• LLM Agents & Agents: OpenAI API, OpenCode (for AI-powered development), Agent Zero (autonomous AI Agents), experimenting with Ralph-style agent loops
• Core Stack: TypeScript, Python, React.js, Next.js, Vue.js
• DevOps/MLOps: Docker, AWS, GitHub Actions, Playwright CI
• Focus: Architectural clarity, high developer efficiency, automating routine tasks with AI agents
• AI Philosophy: My approach is "AI-augmented by default"—I use AI agents not just to code, but to orchestrate architectures, draft PRDs, and solve problems creatively.

I am actively refining prompt engineering techniques, constantly exploring the power (and boundaries) of developer-first autonomous agent loops. Ongoing areas of interest include emergent prompt patterns and the practical deployment of multi-agent systems for real-world productivity gains.

• Fine-tuning language models for instruction following and niche tasks
• Retrieval-Augmented Generation (RAG) for smarter context-aware agents
• Semantic search & vector databases (Pinecone, ChromaDB)
• Improving developer productivity with AI-augmented workflows

• Frontend: React, Next.js, Vue, GraphQL, TypeScript, Tailwind CSS
• Backend: Python, PHP, Java
• DevOps: Docker, AWS, GitHub Actions
• Testing: Playwright (CI/CD)
• Learning: Elixir

• Personal Website: corysiebler.com
• LinkedIn: Cory Siebler
• GitHub: @crsiebler

If you have ideas about AI agent infrastructure, autonomous developer workflows, or want to collaborate—let’s connect! Exploring and open to PRs on current agent projects.