Agentic AI
Stateful, multi-step agent workflows with LangGraph.
- LangGraph
- Agent workflows
AI Lab
Exploring AI from a software engineering perspective
Where I’m currently exploring AI — with the same engineering habits I apply to any other system: small experiments, tests and honest evaluation.
01 / AI Lab
Current focus
LLM Applications
Grounded LLM features: retrieval, tool calling and structured output.
- RAG
- Tool calling
- Structured output
Azure AI
Azure AI services and AI agents, building on the AI-901 certification.
- Azure AI services
- AI agents
AI-assisted Engineering
LLMs inside the software development loop — planning, implementation, testing and review.
- LLMs
- Software development
02 / AI Lab
Active project
In developmentPrivate repository
KodSchmiede
Autonomous software engineering workflow
A local-first, autonomous software engineering workflow — a mini software factory built with LangGraph and Python tooling.
- Python
- LangGraph
- FastAPI
- Pydantic
- asyncio
- LLMs
- 1Plan
- 2Research
- 3Implement
- 4Test
- 5Review
- 6Iterate
03 / AI Lab
AI technologies
Open a technology to see where it was used professionally, in projects or in learning.
PythonProfessionalProjectCertified
LangGraphProjectLearningFocus
LangChainLearning
Azure AICertifiedLearningFocus
LLM ApplicationsProjectLearningFocus
FastAPI · Pydantic · asyncioProject
Learning path
Certifications and courses behind this work are listed on the Learning page.