Newest first, grouped by year. Search or filter by topic.
The series retrospective - what was borrowed and from whom, what my extensions add and what they cost, the gap between the workflow as described and the runs I can actually evidence, and what I would do differently.
Agents now work unattended for stretches long enough that the conversation can no longer save you - why unstructured runs fail, the five-phase PREVC workflow I adapted from an open-source skeleton, and where this ten-part series goes.
Pick the one closest to the role. Each is two pages and carries the same facts.
Applied AI
Agentic AI & Cloud Engineer · multi-agent systems, RAG and MCP on AWS
Cloud & .NET
C#, .NET 10 and ASP.NET Core microservices on AWS and Azure · Terraform & AWS CDK
Data Engineering
AWS lakehouse · Kinesis, Glue (PySpark), Apache Iceberg, Lake Formation
Everything
All three domains, with the standout project from each