Newest first, grouped by year. Search or filter by topic.
The transformation map between my two frameworks - what each of the seven traditional disciplines became among the AI-era eight, what split, what transferred with its weight intact, what dissolved into sub-disciplines, and the fifth learning-stack discipline that is deliberately not on the list.
Novice to Architect - the five-level ladder both of my frameworks share, why every cell of it demands evidence you can point at rather than a feeling about ability, and the Level 0 my own summary tables invented by mistake.
Leadership weighs 15 in my competency framework and not one point of it requires authority - decision making, alignment, mentoring, process thinking and facilitation as evidenced skills, plus the two quiet disciplines that complete the model.
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